VS Code Extension for the RACK tool

Project I did when I participated in the Next Level Week by @RockeatSeat

Prompt plugin for GramIO

React-based frontend for File Talk AI. Allows users to upload PDFs, ask questions, summarize documents, and generate questions using a Django + GROQ backend.

AI-powered audio transcription with intelligent question-answering capabilities

A web application for studying.

Question & Answers Platform Backend

UI for the GeoQA research project by the AI team of Department of Informatics & Telecommunications, National and Kapodistrian University of Athens (UoA)

DocuQuery – A lightweight Question & Answering system that lets users securely upload documents, text, and images, then query them directly.

A Question and Answer forum(Quora function clone)

Step by step on how to create a nodejs package using typescript

A Node.js API server for querying PDF documents (e.g., resumes) using AI-powered question answering. Powered by Google Gemini and optional OpenAI GPT, it processes PDFs, embeds content with LangChain, and answers questions via a POST endpoint.

Next.js LangChain Gemini RAG Chatbot: An advanced Retrieval-Augmented Generation (RAG) chatbot that enables users to upload multiple PDFs and receive precise answers to their questions based on the content. Powered by LangChain and Gemini, this chatbot is built with Next.js and offers efficient PDF-based query handling for enhanced user engagement.

Transform study materials into an intelligent learning companion. Upload PDFs, ask questions, get instant answers with page citations, and generate adaptive quizzes.

A Robust and dynamic form builder that allows you create forms based on preference.

Question and Answer API utilizing RESTful routing, TypeScript, and a MySQL database with Sequelize.

Implementation of a RAG-based, multi-tool AI agent for financial document Q&A. Tech stack includes Node.js, React, LangChain.js, and the Google Gemini A

This is a project I've worked on using Next.js. It includes authentication with Clerk, theme switching, AI integration with OpenAI, and other features like voting and gamification elements..

Lightweight RAG server for the Model Context Protocol: ingest source code, docs, build a vector index, and expose search/citations to LLMs via MCP tools.