Full-year NYC Citi Bike ridership analysis: EDA, Streamlit dashboard, LLM agent

framework for detecting hallucinations in LLM chain-of-thought reasoning. Features synthetic data corruption, transformer-based classifiers, Streamlit UI, and FastAPI backend.

Python Streamlit app bringing together several software programs to facilitate calculations in biology (western blot, RT-qPCR, Venn diagram, transfection)

A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode

Here I share some fun facts about the Pulp Fiction Movie!

A Streamlit application for multilingual policy discourse analysis, macro‑financial forecasting, and comparative abstractive policy summarization.

A fun Streamlit project to help organize and track my kayak camping trips.

A collection of Open Data from the Luxembourg Government related to property and real estate. Includes data processing scripts and an interactive dashboard for exploring property information in Luxembourg.

IIT Madras FedEx Smart Hackathon Project – Smart Logistics Solution

A production RAG chatbot that answers US driving rules questions using official DMV manuals from all 51 states. Built with hybrid vector search (Qdrant), cross-encoder reranking, Redis caching, and Llama 4 via Groq. Features a Streamlit UI with streaming responses.

It is made to help people who manually search for illegal dumping sites on internet for flagging and environment purposes

Real-time job market intelligence pipeline built on AWS — EventBridge, Lambda, SQS, S3, Glue, Athena — with a live Streamlit dashboard showing daily data engineering job postings.

AI-powered Streamlit app for summarizing Reddit posts and comparing the outputs of two transformer models: BART and T5-Large

A smart Movie Recommendation System that suggests movies to users based on their preferences using Machine Learning techniques. This project focuses on delivering personalized recommendations by analyzing user behavior and movie similarities.