Recognition of Persomnality Types from Facebook status using Machine Learning

A method to predict activating, deactivating and resistance mutations in kinases

Designed and developed Agriculture crop recommendation system, an AI-powered interactive system for farmers where we have used random forest classification model, using HTML, CSS, JavaScript, and Python.

This is a project to detect if a person is suffering from a mental health issue by using a questionaire along with facial analysis. NOTE-The predictions may not be completely accurate. This is only a project aimed to showcase technical skills.

An Employee Attrition detection web application, that predicts if an employee is going to leave an organization in near future.

🏥 A model which gives the rate of change of emotions by classifying the emotions. This can be used to diagnose brain related diseases such as Bipolar disorder.

A Google Earth Engine Land use (crops) classification workflow using Random Forest, one year of ground data, Sentinel-2, and Landsats; to produce multiyear annual 30-m crop maps

An end-to-end application for crime rate detection and crime type classification

Disease diagnosis using ML; 3rd place at Hackcoming 2 🏆

This is a machine learning project to detect whether a note is real or fake [Accuracy : 99% | No Overfitting].

Floodplain Area Classifier Using Optical and Radar Imagery

Anveshan Hackathon Project Submission Repo of Numeric Nomads

AquaScribe is a smart water management system that leverages IoT sensors, ML Algorithms and automation to optimize irrigation processes in real-time

The one-stop AI solution to increase crop yield and reduce wastage of crops for farmers.

NutriNavigator is not just a nutritional recommendation system; it's also an e-commerce platform offering organic food products. Now working to dockerize it then host on azure or aws .

A full-stack web app to predict the risk of heart attacks using a machine learning model (Random Forest, 98.1% accuracy). Built with React, Node.js, and Python

An all-in-one health analysis platform offering multi-disease prediction (11+ conditions), personalized nutrition guidance, and symptom checking with precautionary insights for over 60 diseases."

A light infoSec recon extension for Chrome browser

Designed and developed Agriculture crop recommendation system, an AI-powered interactive system for farmers where we have used random forest classification model, using HTML, CSS, JavaScript, and Python.