Machine Learning - NLP - Anxiety Analysis

🌍 Unify humanity's story with Project Origin, an open VR platform that visualizes our ancestry and shared journey through science and history.

This is the repository for Airbus Ship Detection Challenge on Kaggle

A detection dataset containing labelled images of French terrestrial Arthropods.

MATLAB-based logistic regression model trainer for peripheral venous pressure (PVP) waveforms (Example Dataset: Dehydrated and Hydrated Infants)

Real-time Vehicle Detection and Counting System using OpenCV and Haar Cascades — detect, track, and count vehicles from video streams with precision.

Vision-based adaptive crosswalk system that extends pedestrian green time using YOLO tracking, homography speed estimation, and safety logic to protect elderly and slow walkers in real time.

This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy reports. The setup includes dataset preparation, model training, and an interactive interface for predictions.

ID Fraud Detector uses machine learning and computer vision (OpenCV, image analysis) to automatically check whether an ID card is tampered or fraudulent

❤️ Hridayam--AI-powered Heart Disease Prediction System 🌟 Quickly assess your heart health 💓, get risk insights 📊, and receive helpful tips 🩺 all while keeping your data private 🔒. Stay proactive, stay healthy! 💖

Live Machine Learning Model Detection for Clash Royale Gamestate

An end-to-end deep learning system for automated wall crack detection, delivering pixel-accurate segmentation to support preventive maintenance and safety assessments in buildings and civil infrastructure. The project packages training, evaluation, and inference into a reproducible pipeline with a ready-to-run sample dataset and a configuration

A robust machine learning framework to detect spear-phishing emails using NLP, XGBoost, and TensorFlow. Includes explainability (SHAP/LIME), real-time prediction (FastAPI), monitoring (Prometheus + Grafana), and async feedback handling (Redis). Designed for scalability, transparency, and production-readiness.

An AI-powered tool that detects scam messages using machine learning and explains the reason behind each prediction.

Comprehensive investigation into the detection and classification of red blood cell morphologies, in particular of “slipper” and “parachute” shapes under flow conditions, exploiting the YOLOv11 framework.

This repository hosts a real-time system designed to detect smoking violations in designated no-smoking areas

Deepfake Detection Web Application A web-based platform that detects and identifies deepfakes in videos and images using AI-powered algorithms, providing users with a secure and reliable way to verify media authenticity.

Computer Vision using YOLOV8

MambaCoral-DiffDet code and Dataset