I am a Machine Learning enthusiast and Web Developer. These are some of the projects that I have made during my B.Tech. Click on the heading to get to the link for the github repository.
Complete healthcare Model
Tech Stack: Python, Machine Learning, Transfer Learning, Deep Learning, CNN
A group of healthcare detection and prediction models for diseases such as Cancer, Diabetes, Heart diseases, Liver, Malaria, Pneumonia, COVID. The prediction and detection utilizes different Machine Learning and Deep Learning algorithms.
To-Do List
Tech Stack: HTML, CSS, Javascript, NodeJs, EJS, MongoDB
A practical web application built with Node.js, Express, and MongoDB for you to readily record, view, and manage your tasks. You can as many new lists as based on the requirement by just adding the name of the list in the adress bar after the link.
Flight Price Predictor
Tech Stack: Python, Machine Learning
A flight price prediction website that works on the Random Forest model gives an accuracy of 81% for predicting flight fares. The model is then hosted using Flask API.
Journal Website
Tech Stack: HTML, CSS, Javascript, NodeJs, EJS, MongoDB
A full stack website to keep daily track of your work or compose daily journal entries.
Jupyter Notebook Extension
Tech Stack: Python, Javascript
A jupyter notebook extension to add libraries, data preprocessing cell, and regression and classification algorithms with the click of a button for easy use.
Keeper App
Tech Stack: HTML, CSS, Javascript, ReactJS
A clone for keeper app built using ReactJS and has the functionality of creating a new note and deleting existing note with some more effects using Material UI.