Rishabh Sharma AI | Data Science | Machine Learning | GenAI | Computer Vision

A

AI Search Agent

Jan 2026 - Current (5 months)

Built an AI Search Agent using LangGraph that orchestrates parallel searches across Google, Bing, and Reddit. The system synchronizes results, applies focused LLM-based analysis to each source, and synthesizes insights into a unified, accurate response—demonstrating agentic workflows, tool coordination, and structured reasoning.

R

Rock vs Mine Prediction

Jan 2026

This System uses Logistic Regression for binary classification of underwater objects via sonar signals. The UCI Sonar dataset distinguishes metal cylinders (mines, 'M') from rocks ('R'). Data is preprocessed, split into train/test sets, and a logistic model trained to predict probabilities, achieving high accuracy for naval safety applications.

P

PDF-QuestionAnswer

Dec 2025 - Jan 2026 (2 months)

A Python-based PDF Question-Answering system using Retrieval-Augmented Generation (RAG): Extract text from PDFs, chunk it, embed with models like HuggingFace/OpenAI, store/retrieve vectors in Qdrant for efficient similarity search, then augment LLM prompts for accurate, grounded answers. Ideal for document QA apps.

L

Lead Automation System

Nov 2025 - Dec 2025 (2 months)

Automated car dealership lead management system with AI-powered intent scoring.

A

App Builder

Oct 2025 - Nov 2025 (2 months)

App Builder is an AI-powered coding assistant built with LangGraph that works like a multi-agent developer team. It converts natural language requests into complete, functional projects — file by file. Using Planner, Architect, and Coder agents, it plans, designs, and writes code just like a real developer.

N

News Research Tool

Sep 2025 - Oct 2025 (2 months)

🚀 I recently built the News Research Tool 📰🔍, a project designed to simplify the process of researching and analyzing news articles. With so much information available online, it’s easy to get overwhelmed — so this tool helps users extract relevant news, organize content, and analyze articles in a structured way, making it valuable for students, researchers, and professionals alike. While working on this project, I strengthened my skills in Python 🐍, Flask 🌐, and data processing 📊, and gained experience in building and structuring an end-to-end application from scratch. This project reflects my passion for combining AI, data science, and full-stack development to create solutions that solve real-world problems, and I’m excited to keep

S

Sign Language Detector

Jul 2025 - Aug 2025 (2 months)

Sign-Language-Detector is a Python-based application that uses OpenCV and MediaPipe to detect and classify hand gestures in real time. It allows users to collect custom gesture data, train a classifier, and perform live sign language recognition through webcam input.

C

Cold Email Generator

Feb 2025

Create personalized cold emails effortlessly with our Cold Email Generator powered by Llama 3.3, LangChain, and LLMs. Generate engaging, AI-driven emails tailored to your audience, boosting conversions and outreach efficiency. Perfect for sales, marketing, and networking!

E

Electricity Billing System

F

Flipkart Design

S

Student Performance Indicator

This project aims to predict student performance (test scores) by analyzing various factors such as gender, ethnicity, parental level of education, lunch type, and test preparation courses. It follows the lifecycle of a typical machine learning project.

M

Movie Success Prediction System

C

Customer Churn Prediction

This project focuses on building an Artificial Neural Network (ANN) for customer churn classification and deploying the model using Streamlit for a user-friendly interface. Customer churn prediction is a vital task for businesses to identify and retain at-risk customers by analyzing their demographic and behavioral data.

H

Hotel-Management-System

I developed a comprehensive Hotel Management System using Java Core, Swing, JDBC, and MySQL. This application streamlines hotel operations by allowing users to manage bookings, check room availability, and handle customer information efficiently.

N

Network Anomaly Detection System

F

Forest-Fire-Prediction

In this project, I predict forest fires in Algeria using meteorological and environmental data. I apply Ridge and Lasso regression for model training and feature selection. The Flask web application enables users to input data and receive predictions, designed with HTML and CSS.

Rishabh Sharma

About

Detail

Timeline

Résumé