Built a production-grade banking application supporting Admin, Employee, and Customer roles, with secure authentication and role-based access control. Developed REST APIs for account creation, deposits, withdrawals, transfers, and transaction history, backed by a fully normalized PostgreSQL database. Integrated JWT security with BCrypt, enforcing restricted access across user roles. Implemented input validation, balance checks, and error handling to ensure robust financial workflows. Packaged the application using Docker for portable deployment and demonstrated end-to-end workflows with real-world banking logic.

LearnLabs is an AI-driven learning platform that generates personalized courses, tutorials, and developer roadmaps based on any topic or technology. Users can search for subjects like React, Python, CSS, Node.js, or complete learning paths such as Frontend and Backend Development. The platform delivers structured lessons, beginner-friendly explanations, and step-by-step roadmaps to help learners build tech skills efficiently.

AI Recruiter is a modular recruitment automation platform built with Flask, LangChain, LangGraph, FAISS, and HuggingFace Transformers. It automates resume parsing, job matching, and candidate scoring using multi-agent workflows and vector similarity search. The system includes resume parsing, job description summarization, and a scoring pipeline stored in SQLite. It reduced manual screening time by 75%, improved candidate-job matching accuracy by 80%, and enhanced hiring efficiency by 65% for small to mid-sized teams.

Stock Price Forecasting WebApp is a Django-based application that enables users to analyze and forecast stock prices for any ticker using machine learning models. The app achieved a prediction accuracy of 87% and uses Plotly to generate interactive visualizations of stock market trends, enhancing data clarity and user engagement. Optimized data pipelines reduced prediction time by 60%, and trend analysis efficiency improved by 70%, enabling faster, data-driven investment decisions.

Multi-PDF AI Chatbot Agent is an AI-powered application that enables users to upload multiple PDF documents and interact with them through natural language queries. Built using LangChain, LangGraph, FAISS, and Streamlit, the chatbot supports multi-agent coordination for context-aware question answering, document summarization, and intelligent information retrieval. Integrated vector embeddings allow for semantic understanding across documents, enhancing research, legal, and enterprise workflows.