This project aims at determinig the genre of the movie using its posters for image classifications. CNNs are the most effective types of neural network in this project we try to create a CNN which would predict the genres of these movies.

Can be used to Prevent Malpractices like Money Laundering through Charity Organizations and make their financial transactions more secure. Create a Transparent Charity System using Smart Contracts on Ethereum. created a Solidity Smart Contract, used web3, ganache-cli, mocha, to test out our contract.

Used VGGFace and Resnet50 model we extract features from the photos of the celebrities. It predicts the similar matching Bollywood celeb based on cosine similarity of the pictures.

A webapp built using streamlit to display the sentiments of people regarding any events happening in the world by analyzing tweets. It searches for tweets about any topic and analyses each tweet to see whether the emotion is Neagtive, Neutral or Positive, can also fetch tweets from the profile of the entered username.

Detection of Covid in patients from Chest Radiography Images using Xception CNN Architecture

Developed a DeFi application for users to deposit and withdrawn Ethereum coins. Depositing Ethereum yields an additional gain of an ERC20 token with an APY of 10%

Flask ML web app which predicts the probability of 4 diseases and medical insurance costrequired Made an interactive CHATBOT to engage and help the users. It employs different ML models to predict the diseases accurately

A good application of Web3.0, made a decentralized version of Instagram running on Ethereum blockchain. Create a smart contract with solidity, frontend with ReactJS. Connect, storage and get data from IPFS network.(InterPlanetary file system)

Used Python, HTML, CSS, Javascript, Flask to create interactive front-end. Used Python for implementing Linear Regression to predict the future value of the desired Stock with 98.67 percent accuracy .Imported live stock data from Yahoo Finance API.

I performed indepth Exploratory data analysis of these datasets found on Kaggle and drew insights from it ,tried answering some problems and suggested some solutions to it and made some visualizations for better understanding.