An interactive AI chatbot that represents a job candidate, grounded entirely in their parsed PDF resume to prevent hallucinations. It turns a static resume into a conversational agent using a FastAPI backend, Pydantic schemas, and Gemini.
An automated resume scoring tool that shows candidate skill matches and gaps. It processes resumes in batches with caching and retries against Groq, and presents results in Streamlit.
An automated job-search pipeline that pulls roles from public ATS APIs, filters out noise, and scores them against a resume using a two-stage LLM screener. It then automatically drafts tailored application kits and cover letters for the best matches.
An offline-first payment backend that settles UPI-style transactions without internet connectivity. It relies on a simulated Bluetooth mesh network and hybrid RSA/AES cryptography, ensuring idempotency and secure offline ledgers.
A RAG system that answers questions by analyzing entire YouTube playlists and citing precise video timestamps. It handles Hinglish queries using BAAI/bge-m3 embeddings, stores them in Qdrant, and runs asynchronous video transcription via Faster-Whisper.
An AI physiotherapy app that gives real-time feedback on exercise form. It uses MediaPipe to track body landmarks, calculates joint angles to count repetitions, and corrects user posture on the fly.
A machine learning pipeline for predicting property prices in Mumbai. It includes a Random Forest model, a Streamlit web app, a Tkinter desktop GUI, and an SQLite database for persistent records.
A web application that predicts home prices using a Scikit-learn Linear Regression model, with a Flask REST API, an Nginx reverse proxy and a responsive frontend.
A RAG web app for multi-turn conversations over uploaded PDFs, built with Streamlit, LangChain and Groq.
A learning analytics platform that generates assessments with AI and tracks behavioral telemetry, using RAG, a Supabase PostgreSQL backend and Streamlit.
A stateful AI restaurant ordering system built with LangGraph and Groq. It handles multi-turn conversations through a FastAPI backend and a Streamlit frontend.
A command-line AI agent that fixes C++ bugs described in plain English. It shows every edit as a diff for approval, verifies the fix with g++, Make, CMake or your own tests, and supports Groq, Gemini, OpenRouter and Ollama.
A computer vision classifier that identifies sports celebrities, using OpenCV Haar Cascades and wavelet features with models like SVM and Random Forest behind a Flask API.
A C++17 deep packet inspection engine that analyzes PCAP captures and reconstructs network flows. It classifies application-layer traffic using TLS SNI and HTTP Host inspection, supporting both single-threaded and multi-threaded architectures.
A custom C++ vector database implementing HNSW, KD-Tree, and Brute-Force search. It serves as the backend for a fully local RAG pipeline using Ollama, complete with a REST API and a frontend for 2D PCA visualization of the vectors.
A time-series forecasting tool that predicts geomagnetic storm risk 15 minutes ahead from NASA and NOAA space weather data, with an interactive Streamlit dashboard.
A financial fraud detection system powered by an XGBoost model. It handles severe class imbalance using SMOTE and temporal feature engineering, and provides clear, interpretable reasons for its predictions using SHAP values.
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