My Projects

The facial emotion recognition project involves developing a real-time system that detects and classifies human emotions from facial expressions using deep learning models, primarily convolutional neural networks (CNNs). It implements face detection and emotion classification with tools like TensorFlow, Keras, and OpenCV. The system provides live emotion recognition through video feeds, supporting applications in human-computer interaction and emotional analysis.

The Amazon Review Sentiment Analyzer analyzes customer reviews to determine whether feedback is positive, negative, or neutral. Using natural language processing (NLP) and machine learning techniques, the system processes large volumes of product reviews, extracts sentiment patterns, and provides insights into customer opinions and satisfaction.This project helps businesses and users understand customer sentiment trends, improve product quality, and make data-driven decisions based on real user feedback.

Samarth AI is an AI-powered web application that enables users to ask natural-language questions about Indian agricultural and climate-related data and receive clear, data-driven insights. Built using Streamlit, the project integrates multiple public datasets and uses AI to interpret queries, retrieve relevant information, and present meaningful results in a simple, interactive interface.The goal of Samarth AI is to make complex government data accessible, understandable, and actionable for students, researchers, and decision-makers.