All Projects
Explore my complete portfolio of tech projects — from machine learning pipelines to full-stack applications.
Basic Zomato Bot
A portfolio project demonstrating a Zomato-style chatbot built with ChainLit and Groq API. This interactive assistant guides users through food ordering, handles menu queries, calculates totals, and simulates payment — all in a short, friendly conversational flow.
Tensor Flow Basics
This repository is a testament to my journey of learning Tensor Flow from scratch (basics to intermediate level) using Google’s official Tensor-Flow documentation.
Tensor Flow Vision
This repository contains practical Computer Vision notebooks built using TensorFlow and Keras. Each notebook follows official TensorFlow documentation, covering image preprocessing, model training, classification, and more. Ideal for hands-on learning and mastering CV concepts with deep learning.
Java IndiMessenger
This is a messaging app developed in Java that uses Firebase as its database. It supports video calling, messaging, and real-time media sharing.
AI-Poker Hand Recognition System
This repository contains the code and resources for “AI-powered Poker Hand Recognition,” a project that uses machine learning to detect and classify poker hands from images.
Machine Learning Netflix Style Recommendation System
This project showcases my ability to build CBF, CF, and hybrid recommendation systems, along with deploying ML models using Docker and Google Cloud Run within an MLOps pipeline.
MLOps - US Visa Prediction
This project implements a complete MLOps and CI/CD pipeline for U.S. Visa Status Prediction, enabling automated model training, deployment, and monitoring to predict visa approval or denial based on applicant attributes.
Basic MCP Setup
This outlines the basic setup of my learning process in MCP, including how to configure tools, utilize resources, and structure prompts.
LLMOps - AI Shopping Assistant
A full-stack, LLM-powered laptop recommendation system that combines intelligent data ingestion pipelines with an interactive chatbot workflow. The system helps users find personalized laptop recommendations based on their preferences through natural language conversations.
AI Mental Health Therapist
This project is a hackathon build completed in 24 hours—an AI-based Mental Health Therapist designed to interact with users empathetically. The AI engages in conversations, asking relevant questions to understand the underlying reasons for mental health concerns. Based on the user’s responses, it provides thoughtful suggestions or coping strategies to help them feel better. Additionally, it can act as a supportive listener, offering users a safe space to express themselves.
Mr HelpMate AI
Mr. HelpMate AI is a PDF-focused Retrieval-Augmented Generation (RAG) system that extracts and chunks text from PDFs, generates embeddings using Google Gemini, and stores them in ChromaDB Cloud. It powers a smart chatbot that retrieves, re-ranks, and generates accurate, grounded answers using Gemini. Built with LangChain and FastAPI, it includes a simple HTML interface and is deployed on Render for easy access.