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🌐 MedicalChatBot Website – An AI-powered chatbot that provides reliable medical information in real-time. Built with FastAPI, LangChain, ChromaDB, and Ollama, it lets users ask health-related quest…

ATS Resume Expert is an AI-powered tool that reviews resumes against job descriptions. It evaluates candidate strengths, identifies missing skills, and calculates a match percentage using advanced …

This E-Commerce Platform is a modern, scalable web application built using NestJS for the backend, MongoDB for data persistence, and JWT (JSON Web Tokens) for secure user authentication. It provide…

An intelligent email spam classification system that uses a machine learning model to automatically detect and filter spam emails in Gmail. Built with Python, PyTorch, FastAPI, and the Gmail API, i…

SocialApp is a robust, scalable backend API for a modern social networking platform. Built with Node.js, Express, TypeScript, MongoDB, AWS S3 and Web Socket, it provides a solid foundation for user…

Bloom’s Taxonomy RAG Tutor is an AI-powered learning app that transforms lesson PDFs into interactive quizzes. Using RAG, FAISS, and LLMs, it generates Bloom-based MCQs across all levels, lets stud…

The YouTube Video Summarizer is an AI-powered web application that allows users to generate concise summaries of YouTube videos by extracting and processing their transcripts.

AI Python Tutor (Local RAG) is a Streamlit-based coding assistant powered by local Retrieval-Augmented Generation (RAG).

A modular Node.js backend for user authentication, messaging, and user management. Built with Express, MongoDB, and Joi, SarahApp features robust validation, secure authentication, and a scalable a…

This project is a Streamlit-based web app that lets you upload multiple PDF documents and interact with them in natural language. It uses Google Gemini (via LangChain) for embeddings and question-a…

Project Summary: Rice Image Classification Using Convolutional Neural Networks This project involves developing a Convolutional Neural Network (CNN) model to classify images of rice grains into fiv…

The project uses a deep learning model trained on medical retina images to segment the blood vessels, aiding in the diagnosis of retinal diseases. The application is built using FastAPI and integra…

Our Lane Line Detection Project is a critical component in autonomous driving systems, enabling vehicles to recognize road boundaries and navigate safely. This is achieved by focusing on advanced i…

Speech Commands Recognition Project This project is a neural network-based approach to recognizing spoken commands using the Google Speech Commands dataset. The project aims to classify spoken digi…