The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)

Turn plain English into Robot Framework files with AI. No dependencies, no hassle — just validated, ready-to-run tests

PR Guardian AI automatically reviews pull requests using advanced AI analysis. It identifies code issues, security risks, performance problems, and provides actionable suggestions directly inside GitHub pull requests.

An interactive dashboard for exploring mathematical research trends on arXiv

Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.

AI-powered stock analysis and investment recommendation app using CrewAI agents, Gemini LLM, DuckDuckGo Search and real-time market data. Generates comprehensive reports, news summaries, and buy/hold/sell advice.

ScholarLens analyzes research papers using RAG with AI models from OpenAI, Anthropic, and Google. It identifies research gaps, assesses novelty, extracts key concepts, visualizes citations, and enables natural language queries of academic content. Features include PDF processing, arXiv/Semantic Scholar integration, batch processing, and intelligent

Augmented Intelligence Framework: Create orchestrated multi-agent AI teams for software development, user research & content creation. Features 45+ specialized agents with structured workflows delivering the full benefits of human-AI collaboration

An open-source, LLM-optimized web crawler and scraper engine. Transforms web content into clean, structured Markdown for RAG, AI agents, and data pipelines. Fast, scalable, and production-ready.

Semantic Retrieval Engine for Contrasting Ideas and Opposing Viewpoints.

An enterprise-grade, full-stack AI travel planner which provides data-driven itineraries for Lucknow, India and showcases production-ready architecture, combining a FastAPI backend with a Streamlit frontend. It leverages an advanced agentic RAG system, context-aware responses by integrating a local knowledge base with live, external APIs.

AI-powered app to turn YouTube transcripts into blogs using LangChain, OpenAI, and Streamlit.

Agent-Creator is a framework for building and experimenting with multi-agent systems powered by Microsoft’s AutoGen. The project demonstrates how autonomous AI agents can collaborate, communicate, and solve tasks in a simulated environment. The main file world.py acts as the orchestrator, defining agent behaviors, interactions, and workflows.

A personalized career guidance agent built with FastAPI, LangGraph, and OpenAI. Provides tailored career advice, answers questions on skills and certifications, and supports real-time conversations for informed career decisions.

A Streamlit tool for analyzing Information Security Policies by classifying keyword occurrences as "Actionable Advice" or "Other Information" to measure policy effectiveness through the "Keyword Loss of Specificity" metric.

LLMGrep combines the precision of Semgrep's static analysis with the power of Large Language Models to deliver comprehensive security scanning, interactive vulnerability discussions, and intelligent rule generation capabilities.

An AI-powered Financial Learning Assistant that helps users learn finance concepts interactively using FastAPI, LangChain/LangGraph, and Streamlit. It supports real-time chat streaming, note saving/exporting, and contextual learning with conversation memory.

Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

Experts Panel - Multi-expert query processing system with AI integration

Medquery-assistant is an intelligent medical chatbot that supports natural, context-aware conversations through a sleek web interface, featuring nested query handling, real-time responses, and a user-friendly design.