Transform, query, and merge tabular files with the expressionable Python module. This tool is used primarily for gene-expression data.

Deploying machine learning model using flask

This is a IPL match predictor that is made of machine learning algorithms and deployed on flask web as backend

Forecast NFL games with machine learning tools in Python

This is the project that I created for DSN 2 at VIT , As its name suggests it will help you to check for any abnormalities with your heart by giving the "Heart Risk Assessment"

Educational deserialization attack on a hydroelectric plant simulator (HydroFlow Console)

Flight price Prediction is made using decision tree model and Machine learning concepts

HexDoc is an AI-powered chatbot that helps users manage stress by offering personalized exercises, motivational quotes, and mental health resources. It uses NLP techniques and TensorFlow-based neural networks to understand and respond to user inputs.

The most conservative proxy server you'll ever come across.

A 10-year Coronary Heart disease predictor developed for people among various age groups from an appropriate dataset based on several parameters using HTML, CSS and Django and used Logistic Regression Model for prediction.

AI-Powered Customer Churn Prediction is a Flask-based web application that leverages machine learning to help businesses predict whether a customer is likely to leave (churn). Built with a clean and responsive UI using Bootstrap, this tool allows users to input key customer details — such as tenure, monthly charges, contract type.

Machine Learning Recommendation System

A Gender Classification App with Prediction Score and Eigenvalue Face Analysis Using Open CV

Deploy a machine-learning web app that makes predictions based on data using Python and Flask.

Implementation of Attribute based Access Control for MongoDB NoSQL Database

This project is based on predicting miles per gallon of cars from 70s based on features provided in the dataset. The regression is implemented using ANN with 2 hidden layers.

The following repo contains scripts detecting flairs from reddit posts with real time hosted flask server.

To use dataset provided in https://worldhappiness.report for years 2008-2020 to create a machine learning algorithm that can predict one's happiness score based on the criterias given in the report. Furthermore, a website is created to showcase the machine learning algorithm and various plots.