This LLM enabled chatbot that helps answer customer questions for Paderno kitchen products on Canadian Tire Corporation website.

Scrapes job posts from LinkedIn and Indeed using Selenium. Also includes some further analysis and simple explorations with langchain

🧠 Analyze agent chat transcripts on Washington Post articles with AI, providing insights, sentiment detection, and interactive visualizations.

The Bio Generator Flask App creates personalized bios based on user inputs like career, personality, interests, and relationship goals. It uses Ollama LLM to generate unique, engaging bios effortlessly.

Medical RAG App built using Meditron Medical LLM and PubMedBERT Embeddings

CognitoEDA is an agentic workflow for automated Exploratory Data Analysis (EDA) using Large Language Models (LLMs) and Pandas. The project leverages LangChain, LangGraph, and Google Gemini models to extract metadata, generate EDA queries, and produce human-readable structured reports from tabular data.

A repository featuring diverse Generative AI projects, including chatbots, content generation tools, and creative AI models. Perfect for exploring innovative applications and practical deployments in AI.

Technical blog featuring tutorials on AI, Machine Learning, Python tools, and algorithms. Built with HTML, CSS, JavaScript and Bootstrap.

Phoenix, AI-powered platform for job application, recruitment, and more

An unofficial Liberal Democrat chatbot powered by AI, offering instant access to the party's policies.

This project is designed to convert spoken content into real-time captions, including mathematical notation, to enhance the accessibility and learning experience for students

Playground exploring LangChain, Ollama LLMs, RAG pipelines, local embeddings, semantic search, vector indexing, and advanced LLM orchestration—ideal for AI workflows, experimentation, and prototyping.

An advanced AI-powered research assistant that uses multi-agent architecture to search, analyze, and synthesize information from multiple sources. Built with modern LangChain agents, conversational memory, and a beautiful React frontend.

ML Buddy is a Chrome Extension that makes your Machine Learning journey easier by giving you instant concept explanations, code walkthroughs, and blog summaries — all powered by Google Gemini and LangChain, right in your browser.

A Flask app that provides medical answers using AI and a medical dataset via a responsive chat interface.

This project is a real-time voice assistant built using Flask, Groq's LLaMA 3 (70B) via langchain_groq, and speech recognition. The assistant listens to your speech, transcribes it, sends it to the Groq LLM for a response, and displays the result in a web UI with markdown rendering.

Medibot is a voice-enabled medical AI assistant using RAG for accurate healthcare conversations. Evolved from my text-based chatbot, it now understands spoken questions and responds with voice answers, making medical guidance more accessible through intuitive multimodal interaction.

🌐 Generate diagrams effortlessly with Mermaid AI Diagram Generator, transforming your ideas into visual representations quickly and clearly.

Chatbot using LLMS and HTMLs

AI-powered clinical decision support using RAG, GPT-4, and vector databases for medical document analysis