Developed a Heart Attack Predictor web application aimed at assessing the risk of heart attacks based on user input of key health metrics.

This project focuses on sentiment analysis of Amazon reviews using the RoBERTa pretrained model,the project aims to extract insights from customer feedback on Amazon.

Sentiment analysis tool to classify reviews as positive, negative, or neutral, and provides a visual representation of the sentiment distribution.

The Titanic Classification project uses machine learning's Logistic regression algorithm to predict a person's likelihood of survival in the event of a sinking.

Developed a machine learning model for stock prediction using advanced algorithms and historical market data to forecast future stock prices.

Mihir A.I, a Python-based voice assistant that leverages Google Cloud Speech-to-Text for precise command interpretation and OpenAI's GPT-3 for intelligent responses.

Crafted a URL shortener using Python Flask, providing concise and user-friendly shortened links for efficient web navigation.

The dashboard provides comprehensive insights into sales performance, customer behavior, and other key metrics to help drive business decisions.

It allows users to interact with a 3x3x3 Rubik Cube, track their solving time, and keep records of their solving statistics.

The game involves extending a stick to reach the platforms and land safely to score points.