In this Project We perform NLP tasks like QA Pair Generation, Question Answering, Text Summarization and Data Extraction from webpages using Large Language Models (Like Gemini ) and Langchain

An AI-powered Streamlit application that generates complete frontend websites using HTML, CSS, and JavaScript from a single prompt. Built with LangChain and Google Gemini, it enables users to instantly create, preview, and download production-ready website code.

Build an efficient Python-based Retrieval-Augmented Generation (RAG) system for contextual query answering over personal data, all with natural language using ChatGoogleGenerativeAI (gemini-pro).

ResuMind AI is an LLM-powered resume analysis system that processes bulk PDF and DOCX resumes from ZIP files and converts unstructured content into structured CSV data. Built with LangChain, Gemini, and Streamlit, it enables automated, scalable, and schema-driven resume intelligence.

VitaFolio is an AI-driven platform built with Streamlit that uses the Gemini LLM to instantly transform your resume into a fully responsive, professional portfolio website. Download a complete, ready-to-deploy package with HTML, CSS, and JavaScript—no coding required.

A Streamlit-based Retrieval-Augmented Generation (RAG) app powered by LangChain, Gemini 1.5 Flash, and Chroma, allowing you to upload PDFs, DOCX, or TXT files and ask natural-language questions with AI-grounded answers.

Streamlit app that parses resumes and documents (PDF, DOCX, TXT) into structured JSON using LangChain and Google Gemini.