Samrudhi Bhadarge

Sentiment Based Recommendation System

Summary

Developed a sentiment-based recommender system with emotion detection and a mental health-focused chatbot the input is processed and trained on algorithms and best recommendations are generated. Enabled personalized content recommendations Implemented recommendation algorithms to analyze user behavior and preferences

Movie Recommendation System

Summary

Developed a personalized movie recommendation system using machine learning to enhance user engagement and satisfaction Implementation of collaborative and content-based filtering techniques. Application of machine learning algorithms for building recommendation models.

SuperMarket Management System

Summary

The supermarket system stores and tracks the products from admin and user end. Shoppers ('User') can choose a variety of products ('Product') across multiple product categories ('Category') in order to generate an order ('Order') that is stored within the database.

Sales Insights

Summary

Performed data cleaning using MySql and data modelling using tableau created a Tableau dashboard displaying revenue, sales quantity and top customers and products by market and year.

IRJMETS

Published a paper in International Research Journal of Modernization In Engineering Technology and Science. The goal of this study is to use convolutions neural networks (CNNs) to efficiently classify human face sentiment expressions This project's main goal is to create a unique Sentiment-Based Recommender System that uses image-based mood analysis to increase user interaction.

Udemy

HackerRank