Recognition of Persomnality Types from Facebook status using Machine Learning

MatchGuard — AI-powered injury risk prediction and schedule optimization for soccer athletes. Built at the 2026 Data Quest Hackathon

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

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

🤖 Streamline resume screening with AI to match skills against job roles, identify gaps, and suggest tailored learning paths for career enhancement.

AI-powered agricultural SaaS platform with real-time weather integration that provides crop recommendations, fertilizer suggestions, and crop disease detection using ML/DL models.

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.

This project uses a Random Forest Classifier to predict the likelihood of diabetes based on medical data such as glucose levels, BMI, age, and more. The model is trained on the Pima Indians Diabetes dataset and includes steps for data preprocessing, model training, and evaluation.

🏥 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.

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.

An AI diabetes prediction platform combining Random Forest models with clinical range analysis to evaluate risk and screen for five systemic complications.

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."

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.

Spamurai AI-Powered Email & URL Security Scanner Spamurai is a comprehensive cybersecurity tool that combines machine learning with advanced threat detection to protect users from spam, phishing, and malicious URLs. It features both Gmail integration and standalone analysis capabilities.

A full-stack Decision Support System for Flood Management in the Himayat Sagar catchment area.

Machine Learning Project with Flask API +React UI webapp .ml-project beginner-prediction-model fullstack-project

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.