🚀 A curated collection of production-ready AI applications built entirely on free-tier APIs and open-source models.
-
Updated
Jul 13, 2026 - Jupyter Notebook
🚀 A curated collection of production-ready AI applications built entirely on free-tier APIs and open-source models.
An AI-powered web application predicting house rents across major Indian metropolitan cities using a custom XGBoost model and a lightning-fast FastAPI backend.
An end-to-end AI Assistant that transcribes speech, summarizes meetings into bullet points, and provides instant translation using Whisper and BART models.
Full-stack Next.js 15 starter for AI apps. Includes Firebase Auth, Dify AI, credit management, and streaming chat.
AI resume parsing and candidate-analysis app with a full-stack TypeScript frontend and Python backend components.
An AI-powered dynamic pricing system using Dueling DQN and customer behavior simulation, with a full-stack React + Flask dashboard for real-time insights and performance benchmarking.
📖 StoryWeaver-AI is an AI-powered storytelling platform that transforms simple ideas into structured, cinematic stories with characters, scenes, and visual storytelling elements.
RAG-powered operating system for Congressional offices that turns legislation, ethics rules, and appropriations into "Actionable Insights" (AI), answering natural-language queries with cited sources.
Production-grade multi-persona AI system with real-time streaming and character-driven interactions. Designed to deliver consistent personality behavior through structured prompt engineering and session-based context management. Built with Next.js, FastAPI, and Docker.
Production-ready MVP for smart city infrastructure monitoring using YOLOv8 and Flask. Detects potholes and garbage from images, provides severity analysis, report history, and analytics dashboard with full ML-to-web integration.
A production-ready, full-stack multi-agent AI workspace that autonomously researches, drafts, edits, and multi-channel publishes content with Human-in-the-Loop (HITL) approval gates.
AI Systems Lab · Full-stack AI engineering and intelligent systems
AI-powered agricultural assistant using RAG, LLMs, and voice input with hybrid search and intelligent caching for fast, context-aware responses.
Production-grade Full-Stack AI Portfolio built with FastAPI, Jinja2, Tailwind CSS, and Groq LLM.
full-stack AI Audit Terminal using an ensemble of Scikit-Learn models and Flask to classify consumer complaints real-time.
AI-powered email digest app that connects to Gmail, summarizes unread emails using Claude AI, and categorizes them by priority. Built with Python, FastAPI, React, and SQLite.
My notes from Full Stack AI with Python Course from Udemy : by Hitesh Choudhary and Piyush Garg
An intelligent mental health companion app that provides 24/7 accessible wellness support through AI-driven mood tracking, personalized recommendations, and privacy-first design.
GitHub profile for a Full Stack Developer & AI Engineer building LangGraph agents, MCP integrations, agentic systems, automation, and security-aware full-stack AI products.
Full-stack explainable plant disease detection system using TensorFlow/Keras, EfficientNetV2B0, FastAPI, React, Grad-CAM, confidence-based uncertainty handling, crop-aware validation, and pytest.
Add a description, image, and links to the full-stack-ai topic page so that developers can more easily learn about it.
To associate your repository with the full-stack-ai topic, visit your repo's landing page and select "manage topics."