This is a simple example of how to use Python FastAPI to create a simple authentication system based on phone number with SMS verification. We used SQLite as a database. (Login, Register, Auth, Panel, Whoiam, Hi)
An AI-powered Python tool for generating lunar visibility reports using LLMs (Large Language Models) such as Gemini, Groq, and LLaMA3 (via Ollama). Designed for astronomers, developers, and researchers interested in moon sighting, Hilal reports, and Islamic calendar computations.
End-to-end credit decision system that combines policy/regulatory retrieval, modular agent pipelines, and LLM-assisted reasoning to produce explainable loan decisions with citations, metrics, and a Streamlit review UI. Containerized with Docker and Docker Compose for easy deployment.
this is API
This MoonAI API service built with FastAPI that calculates and provides detailed Moon and Sun astronomical data based on user input such as date, latitude, longitude, elevation, and timezone.
Internal RAG data agent with shared UI/MCP/Slack entrypoints, live data tools, and Hugging Face model backends.
Delivering clean, predictable, and production-ready API response structures for modern Python applications.
This repository is dedicated to storing the code developed during the "FastAPI - The Complete Course 2025 (Beginner + Advanced)" course on Udemy.
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