🌟 Put Your First Project in the Spotlight!

[ghostinhershell]

Hey there, GitHub community! 👋

Are you new to GitHub? Have you recently created your first project and are excited to share it with the world? We want to hear from you!

Starting a new project can be both thrilling and a bit daunting, but every great developer starts somewhere. Whether it's a simple "Hello World" script, a fun personal website, a creative game, or a unique solution to a problem, your project matters, and we'd love to showcase it!

Each week, for the month of September, our team will choose one developer and their project to highlight for the rest of the community. This highlight post will be pinned to the New to GitHub category and will put a spotlight on you and your project!

👉 How to Share Your Project:

1. Post a link to your repository in the comments below.
2. Include a brief description of your project and what inspired you to create it.
3. Don't forget to add any special features or challenges you faced!
4. Finally, don't forget to share a little about yourself as well! What brings you to GitHub? What are your goals? Etc! If you and your project are chosen for our Spotlight post, the information you share here will be shared with the rest of the community as well 🎤

By sharing your first project, you can:

• Get valuable feedback from fellow developers.
• Gain visibility and connect with like-minded individuals.
• Learn and grow through constructive suggestions and support from the community.
• Earn your own dedicated spotlight post that will be pinned in the New to GitHub community ⭐

Not sure if you should share your project? Just remember, no matter how big or small, each contribution is a step towards becoming a better developer. So, don't be shy—share your hard work with us! Let's celebrate your first steps!

Looking forward to seeing your amazing creations! 🚀

Happy coding! 💻

[Injamul2k24]

Thanks for you guidance

[Injamul2k24]

Repo : https://github.com/Injamul2k24/Movie-recommendation-system-

This project is a Movie Recommendation System built using Python, Numpy, Pandas, Scikit-learn, and Matplotlib. The system leverages machine learning techniques to suggest movies based on the user's preferences. The front-end interface is developed using the Streamlit library, providing an interactive and user-friendly experience.

Features
Content-Based Filtering:
Recommends movies similar to the ones a user likes based on movie metadata.
Data Handling:
Efficiently processes and analyzes large datasets using Pandas.
Vectorization:
Utilizes the CountVectorizer from Scikit-learn to convert movie descriptions into vectors for similarity calculations.
Similarity Calculation:
Employs cosine similarity to find movies that are most similar to the user's selected movie.
Visualization:
Matplotlib is used for visual representations of data and recommendations.
Interactive UI:
A clean and intuitive user interface powered by Streamlit, allowing users to search for movies and get instant recommendations.

How to Run
Clone the repository to your local machine.

Install the required dependencies using pip install -r requirements.txt.

Run the Streamlit app using the command streamlit run app.py.
Open your browser and go to http://localhost:8888/tree to interact with the recommendation system.

Dataset
The dataset used in this project is publicly available from IMDb, containing metadata of thousands of movies, including titles, genres, overviews, and popularity metrics. This rich dataset allows the recommendation system to generate personalized movie suggestions based on a variety of factors.

[Manaskhurana]

Hello shadows , i have make a fun website for Anime lover of its a wallpapers app and website if any bug is found in my website please message me

https://www.animepixels.com/

[evan-cobey]

rethinking badges in 2025 — this is my “badge.io but modern” view: minimal, clean, editable SVGs — no external deps
https://github.com/ogcae/lastrepos

[noorizanbintiabdulmalik85]

Repo : https://github.com/Injamul2k24/Movie-recommendation-system-

This project is a Movie Recommendation System built using Python, Numpy, Pandas, Scikit-learn, and Matplotlib. The system leverages machine learning techniques to suggest movies based on the user's preferences. The front-end interface is developed using the Streamlit library, providing an interactive and user-friendly experience.

Features Content-Based Filtering: Recommends movies similar to the ones a user likes based on movie metadata. Data Handling: Efficiently processes and analyzes large datasets using Pandas. Vectorization: Utilizes the CountVectorizer from Scikit-learn to convert movie descriptions into vectors for similarity calculations. Similarity Calculation: Employs cosine similarity to find movies that are most similar to the user's selected movie. Visualization: Matplotlib is used for visual representations of data and recommendations. Interactive UI: A clean and intuitive user interface powered by Streamlit, allowing users to search for movies and get instant recommendations.

How to Run Clone the repository to your local machine.

Install the required dependencies using pip install -r requirements.txt.

Run the Streamlit app using the command streamlit run app.py. Open your browser and go to http://localhost:8888/tree to interact with the recommendation system.

Dataset The dataset used in this project is publicly available from IMDb, containing metadata of thousands of movies, including titles, genres, overviews, and popularity metrics. This rich dataset allows the recommendation system to generate personalized movie suggestions based on a variety of factors.

IMDb,ya..good...ok thanks.

[loujr]

Side Fun Project - Forward2 A URL Shortener

Repo: https://github.com/loujr/forward2

Forward2 is a url shortener that takes long links and makes them shorter similar to any service you would find online. Everyone aspires to have living, useful code. I wanted to make my barrier of entry very low. This started out as a simple print to file minimal viable project and has ballooned to increasingly complex functionality. This project now utilizes two separate python services one to generate short links and the other to redirect you to the correct page. I have split the components to an API with the option of adding UI elements later. This is further integrated with another project you can find on my profile called MikeTysonBot.

I am a GitHub Staff member who works in our Ecosystems Teams. My speciality is API and integration hence why this program has API components. My goal is to work more on our platform development and continue to contribute code to our monolith.

[ghostinhershell]

Thanks so much for sharing @loujr! 🚀

[MikeyBeez]

Hello GitHub community!
As a retired technical architect, I'm dedicating my final years to contributing to the rapid progress of AI research. I'm excited to share my latest project, Ollama Agents, https://github.com/MikeyBeez/Ollama_Agents a repository that leverages free components for AI agent development.
What sets this project apart is its focus on local development, utilizing Ollama and Llama 3.1 8B to create a remarkably intelligent agent. The smart_agent.py program is capable of tackling complex research projects with impressive results.
I'd love for you to explore the repository and share your thoughts:
Unlike other frameworks like Crew or Langchain, Ollama Agents is designed specifically for local development, offering a unique approach to AI agent development.
Your feedback and suggestions are invaluable in helping me refine this project. Let's work together to accelerate AI advancements!
Feel free to modify it if you'd like, and I hope you get some great feedback on your project! https://github.com/MikeyBeez/Ollama_Agents

[ghostinhershell]

Love this, thank you for sharing @MikeyBeez!!! 🌮

[MikeyBeez]

I'm glad you like it. I think it's a unique project, because it doesn't require any paid cloud services. Most big projects are backed by for-profit AI companies. But AI is too important to be just for the wealthy. I'm not aware of any agent frameworks like mine. BTW, today I added a graph knowledgebase.

[PIYUSH1525]

love this

[evan-cobey]

I wanted ultra-minimal GitHub cards with OKLCH tokens — this is my personal dark preset in production
https://github.com/ogcae/lastrepos

[gm3dmo]

I've a little project that showcases the GitHub API's. It's called The Power it's useful for teaching, learning and demonstrating how GitHub's API's work. The idea is to keep things simple by demonstrating an API endpoint in a single script such as create-repo.sh

[ghostinhershell]

Thanks so much for sharing @gm3dmo! For anyone interested in getting started with The Power, check out @loujr's post here: The Power: Scripts for Comprehensive Automated API Testing 🚀

[MikeyBeez]

Thanks, @gm3dmo. This may come in handy. I plan on having my agent write code eventually, so interacting with github is a necessity.

[OlaiwonAbdullahi]

I just finished building a replica of
Swyft Pay
Website using React JS and TailwindCSS!🎉

https://github.com/OlaiwonAbdullahi/SwyftPay-Replicate

[ghostinhershell]

Love seeing the progress here, kudos to you @OlaiwonAbdullahi! 🎉

[PIYUSH1525]

nice

[prince272]

👋 Hey GitHub community!

I’m excited to share my latest project: NextSolution V2! 🚀

Project Overview:
NextSolution V2 is a starter template that integrates an ASP.NET API 🖥️, Next.js (React) 🌐, and Expo (React Native) 📱. It’s crafted to provide a robust foundation for full-stack application development with dynamic APIs and responsive web and mobile interfaces.

What Inspired Me:
After the initial release of the NextSolution template on NuGet, I saw a steady rise in both NuGet downloads and GitHub stars. The positive feedback motivated me to develop V2, featuring an enhanced codebase and improved organizational patterns.

Special Features:

✨ ExpoApp Project:

• Added ExpoApp with React Native Paper and NativeWind.
• Customizable sign-up, sign-in, and reset-password screens.
• Integrated Prettier for consistent code formatting.

✨ NextApp Project:

• Added NextUI for UI components and Prettier for code formatting.
• Customizable sign-up, sign-in, and reset-password modals.

✨ WebApi Project:

• Implemented IdentityController and configured Ngrok.
• Added Twilio and MailKit for communication services.
• Integrated RazorViewRender for HTML views, OAuth for authentication, and JWT-based authentication.

🔄 Updates:

• Refined project structure to better support modular and technology-specific needs.

Getting Started:

1. Install the template: dotnet new --install NextSolution.Template::2.0.0
2. Create a new project: dotnet new nextsln -o YourProjectName --include-expo --include-next --configure-ngrok

For more details, check out the GitHub repository. If you find it valuable, please consider giving it a star ⭐!

About Me:
I’m Prince, a developer passionate about creating full-stack applications and exploring new technologies. I’m here on GitHub to connect with fellow developers, share knowledge, and collaborate on exciting projects. My goal is to continue building tools that make development easier and more enjoyable.

Looking forward to your feedback and engaging with the GitHub community!

Happy coding! 💻

[Fabii-p]

Hey guys!
This is my first project: https://github.com/Fabii-p/projeto-imersao-alura
I'm a lawyer, and just started learning about dev six days ago.
Feel free to contact me and sand me any suggestions on How to improve my project.

[lunalobos]

Nice, it seems you use pure JS, HTML, and CSS. I recommend that the next step be learning Vue and Tailwind.

[Fabii-p]

Thank you for your feedback... I'l definitly look It up.

[ghostinhershell]

This is a beautiful project, thank you so much for sharing @Fabii-p, kudos to you for starting a new path and we're all really excited to see where this journey will take you 🚀

[Fabii-p]

Thank you so much, I'm very excited too.

[LikhithaKakuluri]

https://github.com/LikhithaKakuluri/My_Portfolio

A Beautiful Portfolio with enhanced feature , everybody can go through it , and provide me your valuable feedback .

[lunalobos]

Wow, it looks awesome! that’s a serious flex. Just a few minor observations: maybe the background could be a bit smoother (something like this) and you could prevent the skills from covering the navigation bar by using a different z-index for the navbar class.

[LikhithaKakuluri]

thanks for your valuable words. i will make sure to change

[ghostinhershell]

Love to see the collaboration here! Thanks so much for sharing @LikhithaKakuluri and thanks so much for lending a helping hand @lunalobos! 🌮

[lunalobos]

chessapi4j

Hi! I started this project last year and have been improving it, fixing errors and bugs along the way. This year, I picked it up again and made several improvements. It is a Java library that allows you to work with chess-related operations.

The library includes features like verifying legal positions and legal moves, working with PGN files, generating legal moves from a given position, and handling FEN strings.

Since chess is a game, many natural abstractions arise. Developing a relatively fast move generator was particularly challenging (I believe Java can't offer much more speed), while also ensuring it passed the standard unit tests for a move generator. The library includes many features, and perhaps I'm not doing a good job of describing them all.

I am just an amateur programmer, and I wrote this library because I wanted to create a server for an online chess website. As I started, I realized it was better to develop it as a separate project from the server, and then I realized it didn't have to be proprietary software, so I decided to share it, which led me to GitHub in the first place.

[Husnainmirza0071]

03257531376 jazzcash Sent from my Galaxy -------- Original message --------From: lunalobos ***@***.***> Date: 09/09/2024 1:04 am (GMT+05:00) To: community/community ***@***.***> Cc: Husnainmirza0071 ***@***.***>, Comment ***@***.***> Subject: Re: [community/community] 🌟 Put Your First Project in the Spotlight! (Discussion #137746) Wow, it looks awesome! that’s a serious flex. Just a few minor observations: maybe the background could be a bit smoother (something like this) and you could prevent the skills from covering the navigation bar by using a different z-index for the navbar class. —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you commented.Message ID: ***@***.***>

[Husnainmirza0071]

Sent from my ***@***.*** -------- Original message --------From: lunalobos ***@***.***> Date: 09/09/2024 1:04 am (GMT+05:00) To: community/community ***@***.***> Cc: Husnainmirza0071 ***@***.***>, Comment ***@***.***> Subject: Re: [community/community] 🌟 Put Your First Project in the Spotlight! (Discussion #137746) Wow, it looks awesome! that’s a serious flex. Just a few minor observations: maybe the background could be a bit smoother (something like this) and you could prevent the skills from covering the navigation bar by using a different z-index for the navbar class. —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you commented.Message ID: ***@***.***>

[jayantur13]

Hello, community.

I recently made a GitHub Bot named OctoPaji (refers to Github's Octo and Paji is Indian, Punjabi term meaning brother).

The bot posts gif on various Github events in a repository like opening and closing issue and PR, search for similar issue/PR, auto assign a maintainer and label the issue for now.

I am thinking of adding more. You can checkout the project in OctoPaji - GitHub Bot in GitHub Marketplace. Shoutout to @ThisIs-Developer for guiding me on the GitHub Marketplace Publishing Issue. You can also checkout more of projects in my GitHub profile.

Thanks for your attention.

[ThisIs-Developer]

I appreciate it! Keep up the great work

[ghostinhershell]

Thanks so much for sharing @jayantur13 and shout out to @ThisIs-Developer for lending a helping hand to a fellow developer! 🚀

[tarikrital]

Astroboard the Umbraco dashboard

Repo: https://github.com/wpplumber/astroboard

Get insights of your contents, assets and members while using the friendly CMS.

No special blockers except Angular JS used by the CMS for services.

I'm a web programmer focused on Front-end with experience in developing Umbraco websites and packages also web apps using Tailwind CSS, SPA and PWA in Vue (+ Quasar Framework, Vuetify), AstroJS.

Professional aligned with agile methodology. 📆

[vaishaliisingh]

Hello Everyone! My name is vaishali singh, i am a student from India and i recently made a project on simple blockchain implementations.

project repo link: https://github.com/vaishaliisingh/Blockchain-fundamentals

Project Description:
This project is a basic implementation of a blockchain using Python. The blockchain system includes essential features like creating blocks, managing transactions, and implementing a simple Proof of Work algorithm. The project demonstrates how a blockchain can be structured and maintained, showcasing key concepts such as mining, hashing, and validation.

Key Features:
Genesis Block Creation: The blockchain starts with a genesis block, which is the first block in the chain.
New Block Generation: Users can mine new blocks by solving a computational problem, adding them to the chain.
Transaction Management: The system allows users to create and store transactions, which are included in the next mined block.
Proof of Work: A basic Proof of Work algorithm is implemented, requiring miners to find a valid hash with specific characteristics (e.g., starting with four leading zeros).
Blockchain Validation: The blockchain can be validated by checking that each block’s hash and the previous block’s hash are consistent and correctly calculated.

How It Works:
The blockchain begins with the creation of the genesis block.
Users can add transactions, which are stored in a list until a new block is mined.
When mining a block, the Proof of Work algorithm requires finding a nonce that generates a valid hash.
Once mined, the block is added to the blockchain, and the transactions are cleared for the next block.
A simple validation method ensures the integrity of the entire blockchain by checking the hashes of all blocks.

Technologies Used:
Python
Hashlib for SHA-256 hashing
JSON for encoding block data
Basic concepts of blockchain, including Proof of Work and transaction handling

This project serves as a foundational demonstration of how blockchain technology works, making it an excellent starting point for understanding more complex blockchain systems and applications.

[TarikTornes]

fan_control (https://github.com/TarikTornes/fan_control)

Hey everyone I am an undergrad student from Luxembourg and I am new to the OpenSource world and to C and therefore decided to create a small project which is a daemon called fan_control.

It started when I wanted to build my own little DIY homeserver with a Raspberry Pi 4B, and decided to cool it with a small cooling system which uses a fan. It bothered me that the only option was to run it permanently on full speed, so I decided to build my own little project in order to fix my issue and improve my C knowledge by coding a small daemon which checks the temperature of the Raspi and adjusts the fan speed according to the temperature.

I am sharing it with you to hopefully get feedback and suggestion according to my style of coding, efficiency and everything about creating a OpenSource project, since I am quite new to this.

Feel free to give me feedback of any kind, wether it is a comment below or as an issue on my repo.
You can find the project here

PS: You can also give feedback to my other repos.

[boonanannamna]

Hi GitHub community! 👋

I built Gift Jar Overlay, a Windows app for TikTok LIVE creators. It displays viewer gifts as animated objects inside a virtual jar and works with OBS through a Browser Source.

Highlights:
• Gift Rules for mapping gifts to custom images and effects
• Local Overlay and Public Overlay links
• Test Gift mode for trying the jar without a live stream
• Windows installer and portable EXE
• Open source Electron project with documentation and demo video

Project: https://github.com/boonanannamna/TikTokOverlays

This project was inspired by and built using ideas and code from TikTokLive by Isaac Kogan and its contributors. Thank you very much for the original work: https://github.com/isaackogan/TikTokLive

Feedback and suggestions are welcome!

[TheMaNi97]

Hi everyone! 👋

I’d like to share my side project, TheMaNi Software Deployment Center:

Software Deployment Center

TheMaNi is a web-based Windows software management and deployment tool. It can manage software packages, detect installers and versions, work with external software sources, and help keep deployed software up to date.

The project started as a personal side project and, honestly, as an experiment: I wanted to see how far I could get developing a complete software application with AI as a development assistant. It turned into a much larger project than I initially expected. 😄

One of the biggest challenges was not simply getting individual features working, but connecting everything into a usable application – including the backend, frontend, software detection, package management and UI/UX.

The project is still actively developed and completely open for everyone. It can be used, explored and learned from by anyone – including apprentices who might find it useful as inspiration or as a starting point for their own vocational training or final examination project.

There is no commercial goal behind it. It is simply a side project I’m developing to learn, experiment and see how far I can get with AI-assisted software development.

Feel free to look at the code, try it out, give feedback, suggest improvements or even contribute ideas. I’d be happy if the project can be useful to someone else as well.

One small note: The GitHub repository and documentation are currently mainly in German, but the project itself is open to everyone and I’m happy to receive feedback in English.

A little about me: I’m a German IT professional working in system integration and IT support. I joined GitHub to learn, experiment, share projects and see what I can build.

I’d be very happy if anyone takes a look and gives me some honest feedback! 🚀

[mmaachado]

Hello!

I’d like to share my latest project, django-shadcn it's an unofficial port of shadcn-ui for Django.

The project already existed, but the lack of components essential to my work, combined with a long period without updates prompted me to fork the project and port the latest shadcn components myself.

The project is published on PyPI, and I’ve deployed a documentation site on Vercel that consumes the library to demonstrate its usage.

I welcome help from anyone interested in the project ❤️, there is plenty of work to be done. In the future, I plan to make the documentation repository public so contributors can help out, especially with the internationalization of the official documentation.

[Rishibharaj]

Hi, This is Rishi Bharaj and am trying to build this. A Knowledge Explorer where the user can click and understand the topic.

https://rishibharaj.github.io/Knowledge-Explorer/

Knowledge Explorer

An interactive, domain-independent learning platform.

Knowledge Explorer transforms complex subjects into visual, navigable knowledge maps. Users can explore topics, understand relationships between concepts, read plain-language summaries, and learn through structured knowledge rather than disconnected content.

The platform itself is domain-independent. Subject knowledge is stored separately in reusable Knowledge Packs, allowing new disciplines to be added without changing the application code.

Status: Sprint 1 Complete · Version v0.2.0 · First Pack: Artificial Intelligence

---

At a Glance

• Domain-independent learning platform
• Powered by reusable Knowledge Packs
• Interactive visual knowledge maps
• Full-text search across topics
• Breadcrumb navigation for guided exploration
• Light and dark themes
• Responsive design for desktop and mobile
• Built with HTML, CSS, JavaScript, and Plotly
• AI Knowledge Pack available today
• Designed to support future packs including PMP, Cloud Computing, Python, Networking, DevOps, Data Science, Cyber Security, and Enterprise Automation

---

Vision

Traditional learning often presents information as isolated pages, documents, videos, or courses.

Knowledge Explorer takes a different approach.

Instead of navigating content linearly, learners explore subjects visually, understanding how concepts connect and where individual topics fit within the broader knowledge landscape.

The goal is to make learning:

• Visual
• Structured
• Contextual
• Discoverable
• Scalable

---

Live Demo

Knowledge Explorer

https://rishibharaj.github.io/Knowledge-Explorer/

Explore the current AI Knowledge Pack through an interactive knowledge map.

---

The Concept

Knowledge Explorer separates the learning engine from the domain knowledge.

Knowledge Explorer Engine
            +
      Knowledge Pack
            =
      Learning Experience

The engine knows nothing about Artificial Intelligence, PMP, Cloud Computing, or any other domain.

Each subject is supplied through a structured Knowledge Pack.

This architecture enables new domains to be added without modifying the application itself.

---

How It Works

Knowledge Pack
        ↓
Structured Topic Hierarchy
        ↓
Interactive Sunburst Map
        ↓
Topic Exploration
        ↓
Descriptions & Use Cases
        ↓
Knowledge Discovery

Users can:

• Explore a subject visually
• Drill into specific topics
• Understand parent-child relationships
• Search for concepts
• Follow guided navigation paths
• Learn how topics relate to the wider field

---

Current Features (Sprint 1)

Navigation

• Professional top navigation bar
• Explore, About, and Roadmap sections
• Responsive navigation experience

Search

• Full-text topic search
• Instant topic discovery
• Click-to-navigate search results

Interactive Knowledge Maps

• Plotly-powered sunburst visualization
• Full hierarchy exploration
• Root and child node navigation
• Dynamic drill-down experience

Knowledge Cards

Each selected topic displays:

• Domain classification
• Plain-language description
• Practical use case
• Context within the wider subject

Breadcrumb Navigation

• Live navigation trail
• Click-to-jump hierarchy navigation
• Continuous location awareness

User Experience

• Light theme
• Dark theme
• Responsive mobile support
• Automatic chart label scaling

---

Current Knowledge Packs

Knowledge Pack	Status
Artificial Intelligence	Live
PMP	Planned
Cloud Computing	Backlog
Python	Backlog
Networking	Backlog
DevOps	Backlog
Data Science	Backlog
Cyber Security	Backlog
Enterprise Automation	Backlog

---

Why Knowledge Packs Matter

Most learning platforms tightly couple content and application logic.

Knowledge Explorer separates them.

Application Logic
        +
Knowledge Pack Data

This approach enables:

• Domain independence
• Easier content expansion
• Consistent learning experience
• Long-term scalability
• Reusable learning architecture

A new subject should only require a new Knowledge Pack, not a software redesign.

---

Technology Stack

Frontend

• HTML5
• Modern CSS
• Vanilla JavaScript (ES6+)

Visualization

• Plotly.js Sunburst Charts

Typography

• Space Grotesk
• Inter
• JetBrains Mono

Philosophy

• No frameworks
• No build process
• No external dependencies beyond Plotly
• Open and understandable architecture

---

Running Locally

Open the application directly:

# macOS
open index.html

# Windows
start index.html

# Linux
xdg-open index.html

Or serve using a lightweight local server:

python3 -m http.server

---

Project Structure

Knowledge-Explorer/
├── index.html
├── README.md
├── ROADMAP.md
├── CHANGELOG.md
├── docs/
│   ├── PROJECT_STATE.md
│   ├── SPRINT_LOG.md
│   ├── BACKLOG.md
│   ├── DECISIONS.md
│   ├── ARCHITECTURE.md
│   ├── AI_CONTEXT.md
│   ├── JOURNEY.md
│   └── VISION_HISTORY.md
└── LICENSE

The current Sprint 1 implementation intentionally uses a single-file architecture for simplicity.

Future sprints will separate functionality into dedicated:

css/
js/
assets/
packs/

directories while preserving behavior.

---

Roadmap

Planned future enhancements include:

Platform Evolution

• Modular file architecture
• External Knowledge Pack loading
• Enhanced navigation controls
• Improved search capabilities

New Knowledge Packs

• PMP
• Cloud Computing
• Python
• Networking
• DevOps
• Data Science
• Cyber Security
• Enterprise Automation

Long-Term Vision

A reusable knowledge engine capable of supporting virtually any structured learning domain.

---

Documentation

• ROADMAP.md – Future development plan
• CHANGELOG.md – Version history
• PROJECT_STATE.md – Current project status
• ARCHITECTURE.md – Technical architecture
• DECISIONS.md – Architecture decision records
• BACKLOG.md – Deferred features and ideas
• JOURNEY.md – Project narrative
• VISION_HISTORY.md – Evolution of the product vision

---

Core Insight

Information becomes significantly easier to understand when learners can see structure, relationships, and context.

Knowledge Explorer transforms subjects from collections of topics into navigable knowledge architectures.

Learning is not just about consuming information.

Learning is about understanding how information connects.

---

License

TBD

---

About me

Rishi Bharaj

PMP® | Oracle Generative AI Professional | ISO 9001 Lead Auditor

I design frameworks, methodologies, and experiments that explore how unstructured information can be transformed into consistent, auditable, and actionable outcomes.

My interests span operational transformation, decision systems, document intelligence, search and match systems, knowledge management, governance, and applied artificial intelligence.

---

Guiding Principle

The most valuable improvements often come not from changing the technology, but from improving how information is interpreted, structured, governed, and transformed into decisions.

---

Areas of Interest

Domain	Focus Areas
Transformation & Operations	Operational Transformation, Operational Intelligence, Decision Systems, Governance & Auditability, Process Improvement
Information & Knowledge Systems	Document Intelligence, Search & Match Systems, Knowledge Management, Information Architecture
AI & Analytics	Applied AI, Reinforcement Learning, AI Experimentation, Data Science

---

Featured Projects

📄 Document Intelligence Pipeline — Unstructured Documents → Structured Information
Converts high-volume operational documents into searchable, classified, and actionable data.

🔍 Search & Match Intelligence Framework — Ambiguous Data → Reliable Identification
Standardizes entity matching through normalization, intelligent search generation, and confidence scoring.

⚖️ Decision Standardization Framework — Subjective Interpretation → Consistent Decisions
Transforms unstructured communications into governed, auditable, and repeatable business outcomes.

🧠 Knowledge Explorer — Complex Knowledge → Structured Learning
Turns complex subjects into interactive visual knowledge maps for exploration and learning.

🤖 Reinforcement Learning Reward Shaping — Incentive Design → Behavioral Outcomes
Explores how reward engineering influences learning dynamics, convergence, and agent behavior.

---

Portfolio Ecosystem

Documents → Information → Decisions → Outcomes

Knowledge → Understanding → Learning

Rewards → Behavior → Experimentation

---

Core Theme

Reduce ambiguity. Improve decisions. Enable transformation.

Across documents, customer communications, search systems, knowledge structures, and AI experiments, the focus remains the same: transforming complexity into structured and actionable intelligence.

---

Certifications

PMP® | Oracle Generative AI Professional | ISO 9001:2015 Lead Auditor

---

Methods

Process Improvement • Decision Frameworks • Information Architecture • Governance Design • Classification Systems • Signal Normalization • Confidence Scoring • Reinforcement Learning

---

Connect

LinkedIn: https://in.linkedin.com/in/rishibharaj

[personwhocreates]

Built Primis - a directory of checked, official links (emergency, government, health, banking, travel) sorted by country, so you're not guessing which result is real. No sign-up, no tracking. Would love honest feedback: getprimis.lovable.app

[LorenzoVicino]

Hi, small honesty note first: I'm not new to GitHub, my account is a few years old.
But this is the first project I've actually published and asked people about, so I hope it's ok to post it here.

https://github.com/LorenzoVicino/repo-control

It's a local dashboard for a folder full of git repos.
You point it at a folder, it finds every repo inside, and shows which ones are clean, whichare behind, and which need attention.
It also shows Docker state and the local Codex / Claude Code / Gemini CLI sessions for the repo you're on.

Why I made it: I'm a software engineer in Italy and I've always worked on company Windows laptops with WSL.
I learned bash and git well because the terminal was the only fast thing on those machines.
But that stops helping at some point. git status is instant on one repo and useless across the 46 I have in one folder, and I kept cd-ing around trying to remember where I left something unfinished.

I never checked if something like this already existed before starting.
Probably a mistake.

What I'd like to know: is there already something better I should be using instead?

npx repo-control ~/your-projects

Thanks

[christianalberto]

🌟 GitHub Insights** generates beautiful README cards — full insights, stats, graph, streak — plus 3D contribution profiles.

👉 Repo: https://github.com/christianalberto/github-insights
👉 Live demo: https://github-profiles-insights.vercel.app

🌟 Help This GitHub Project Reach More People!

👉 Repo: https://github.com/christianalberto/github-insights
👉 Live demo: https://github-profiles-insights.vercel.app

⭐ If you find it useful

A ⭐ star takes a second and helps a lot. Thanks! 🙌

Feedback and contributions welcome.

[Dotoryman]

🔗 https://utangbaseball.cloud

Hi GitHub Community! 👋

I'd like to share one of my personal projects: UtangBaseball ⚾

🔗 https://github.com/Dotoryman/UtangBaseball

UtangBaseball is a small, mobile-friendly baseball batting game designed around a simple idea: Can a very simple 7-pitch batting game still feel fun and satisfying?

I originally started it as a fun fan project, but it gradually became a project where I could experiment with game mechanics, UI/UX, animations, scoring systems, rankings, and small progression features.

Some of the things I've been working on include:

• A simple 7-pitch batting system designed for quick play on smartphones
• Different bats with their own score multipliers and unlock conditions
• Ranking and progression elements
• More expressive, cartoon-like batting effects
• Continuous balancing and UI improvements based on actually playing the game myself

One of the most interesting challenges has been making a very simple browser game feel responsive and satisfying without making the mechanics unnecessarily complicated.

I'm not a professional game developer — I started building projects like this because I enjoy turning small ideas into things people can actually play and use. GitHub has become the place where I experiment, learn, break things, fix them, and gradually make these projects better.

I'd love to hear any feedback or suggestions from the community!

Thanks for checking it out! ⚾🌰

[noya-labs]

Web Control Room (WCR)

Repository: https://github.com/noya-labs/web-control-room
Live project: https://webcontrolrooms.com

This is the first project I've publicly shared on GitHub.

I built Web Control Room (WCR) because I wanted something surprisingly difficult to find: one flexible place where I could keep completely different types of live and web content visible, organized and controllable at the same time.

Instead of constantly switching between tabs, windows, apps and devices, WCR lets you build your own browser-based control room around the way you actually work or watch.

It started as a solution to a personal problem, but gradually became a much larger project.

What WCR can do

• Build a fully customizable multi-tile control room directly in the browser
• Combine websites, live video, TV/news channels, internet radio, widgets and other web sources on one screen
• Add, remove, resize, move and organize sources into completely custom layouts
• Keep many independent sources visible and running simultaneously
• Capture and display selected regions of web pages instead of being limited to showing an entire page
• Work with web sources that cannot normally be embedded directly
• Mix interactive websites, live media, information and utility widgets in the same workspace
• Save favorite channels, radio stations and frequently used sources
• Control the entire dashboard remotely from a phone using QR pairing
• Use the phone as a remote interface for navigation and dashboard control
• Control WCR by voice from both the computer and phone
• Process common voice commands locally through predefined actions, while unrecognized commands are automatically passed to Gemini AI for interpretation
• Use existing Google integrations for services such as Gmail and Google Calendar
• Expand the workspace with additional third-party integrations, with more integrations currently in development
• Build very different setups for monitoring, news, entertainment, work, research, multitasking or mixed use

There is no artificial fixed tile-count limit. The practical limit depends on the user's hardware, browser, available memory, bandwidth and the individual sources being used.

One of the interesting challenges

The hardest part hasn't been simply putting many tiles on a screen.

It has been getting very different things — websites, live media, interactive content, remote control, voice commands and external services — to behave like parts of one coherent system while keeping the interface simple.

Performance has been another ongoing challenge.

As one test, I've run 70 simultaneous live sources smoothly on an older machine:

• Intel Core i5-4460 @ 3.20 GHz
• 16 GB DDR3
• Intel HD Graphics 4600
• Windows 10
• Chrome

That result actually made me more curious about what happens on completely different hardware and with different combinations of sources.

A little about me

I'm a builder more than anything else.

My interests cross software and hardware, including web tools, prototyping, 3D printing and AI-related projects. I enjoy taking an idea, building a working version, breaking it, improving it and eventually turning it into something people can actually use.

WCR is the first project I've decided to publish publicly on GitHub, and part of the reason I'm here is to learn from developers and builders with different experience and perspectives.

The repository is the public GitHub home for WCR — documentation, project information, feedback and community discussions. The production source code itself is not currently open source.

I'm especially interested in honest feedback:

• What would you improve?
• What use case would you build a control room for?
• What technical limitation would you try to break first?
• And if you try WCR, how far can you push it on your hardware?

Criticism, technical questions, ideas and unexpected use cases are all welcome.

Thanks for taking a look at my first publicly shared GitHub project.

[therealbenflynn]

I'm sharing CSV Cleanup Pilot, a small offline Python utility developed with AI assistance under Ben Flynn's account:

https://github.com/therealbenflynn/csv-cleanup-pilot

It applies explicitly selected cleanup rules and writes an unchanged source copy, cleaned CSV, change report and unresolved exceptions. The practical problem behind it is that "clean this file" can accidentally become "guess what these identifiers or dates mean."

The fictional example keeps 0007 intact, retains and flags ambiguous dates, and removes duplicates only when all columns match after the selected rules. The included independent tests cover those behaviors, multiline fields, malformed input and overwrite protection. It needs only Python's standard library and runs offline.

One deliberate limitation: it rejects formula-like cells, so even legitimate values such as +-prefixed phone numbers are outside this pilot. It also does not import into a live store.

For people who deal with CSV exports: which cleanup step still requires manual work after your existing tools? Feedback based on a tiny fictional or fully redacted example would help us decide whether this is useful. Please don't share private files or customer information here.

[kevin-lozada-santos]

Hey folks — I’m Kevin, a software developer and programming educator. I started Brain Scanner after repeatedly losing track of what AI agents had changed in larger projects. It creates a read-only, source-linked map and report so I can jump from a relationship or finding back to the relevant files and tests.

It’s live at https://brainscanner.dev/. If you work on an agent-heavy or unfamiliar codebase, I’d be interested in whether a map like this helps you understand a change faster. Honest feedback is welcome.

[christianalberto]

👉 Repository: https://github.com/christianalberto/github-profile-achievements

A complete guide to GitHub Profile Achievements — unlock guides, tiers, new/experimental badges, retired ones, and known profile issues, all in one place.

Most of this info is scattered across docs, discussions, and random threads. This project puts it together.

What’s inside

• 🏆 All achievements explained
• 📖 How to unlock each one
• ⭐ Requirements & tiers
• 🆕 New & experimental badges
• 🕰️ Retired achievements
• ⚠️ Profile issues & incidents
• 🔍 Extra guides & references

⭐ Support the project

If this helps you, a ⭐ star takes one second and helps a lot more people find it.

👉 https://github.com/christianalberto/github-profile-achievements

Thanks! 🙌
Feedback and contributions are welcome.

[herlonventura]

VHE Deploy — website file deployment with AI, SFTP/FTPS and MCP

English

Hi everyone! I'm Herlon, the creator of VHE Deploy. I manage several websites and built this project to help update their files through an AI assistant, without handling every transfer manually in an FTP client. I'm starting to share my open-source work and would appreciate honest feedback.

It's a Python CLI and local MCP server for compatible SFTP/FTPS hosting:

• Review a preview before authorizing a deployment.
• Automatically back up the remote files that will be replaced.
• Verify transferred content with SHA-256.

A key challenge was keeping the user in control: deployment requires a preview-bound, single-use authorization token. The project is free, MIT-licensed and currently alpha. Please start with a test site; automatic rollback is not available.

Would this help your workflow? I'd love feedback on installation, documentation and use with AI assistants. An assistant with access to your computer can help follow the setup guide; passwords are entered in the terminal, never in the chat.

Português

Olá, pessoal! Sou o Herlon, criador do VHE Deploy. Administro vários sites e desenvolvi este projeto para ajudar a atualizar seus arquivos usando um assistente de IA, sem fazer cada transferência manualmente em um cliente FTP. Estou começando a compartilhar meu trabalho de código aberto e gostaria de receber opiniões sinceras.

É uma CLI em Python e um servidor MCP local para hospedagens compatíveis com SFTP/FTPS:

• Conferir uma prévia antes de autorizar o envio.
• Fazer backup automático dos arquivos remotos que serão substituídos.
• Verificar o conteúdo transferido com SHA-256.

Um dos desafios foi manter o controle com o usuário: o envio exige um token de autorização de uso único, vinculado à prévia. O projeto é gratuito, com licença MIT e está em versão alpha. Comece em um site de teste; não há rollback automático.

Isso ajudaria no seu dia a dia? Quero ouvir sugestões sobre instalação, documentação e uso com IA. Uma IA com acesso ao computador pode orientar a configuração seguindo o guia; a senha é digitada no terminal, nunca no chat.

Repository / Repositório: https://github.com/herlonventura/vhe-deploy-sftp-ftps-mcp

42-second illustrated overview / Vídeo ilustrativo de 42 segundos · Feedback in English or Portuguese / Sugestões em inglês ou português

[zhao1411935907]

I built FishCode: a novel reader that looks like a code editor.

The idea started with a playful question: what if a novel looked like text data inside a SQL file?

Import TXT, EPUB, or ZIP files, and chapters become files in an editor-style sidebar. You can switch between SQL, JSON, YAML, Markdown, Python, C++, and TypeScript views, adjust the reading layout, and export a self-contained HTML file for offline reading.

Local imports stay in your browser. No signup required.

Project and screenshots:
https://github.com/zhao1411935907/fishcode-moyu

I’d love feedback on two things: which view feels most natural, and how comfortable the layout is for longer reading sessions.

[dev-celia]

Hi everyone!

I’m excited to share my first project here: Sales Report Generator.

https://github.com/dev-celia/sales-report-generator

This is a small project I created while learning programming and working on my GitHub portfolio. The idea was to build something that could generate a sales report from data and, at the same time, practice writing cleaner and more organized code.

One of the main challenges for me was understanding how to structure the project and getting used to Git and GitHub along the way. I’m still learning, so I know there is plenty of room for improvement!

I’d really appreciate any constructive feedback or suggestions on how I could improve the project, especially the code structure and README.

I’m looking forward to building more projects and seeing how much I can improve over time!