Mental Health Prediction Web App: AI & Machine Learning for Early Detection
Our Mental Health Prediction Web App leverages multiple machine learning algorithms—including Logistic Regression, Random Forest, SVM, KNN, Naive Bayes, Decision Tree, and XGBoost—for early and accurate detection of mental health conditions. Built with Django, HTML/CSS/Bootstrap, and powered by Python’s data analysis libraries, this AI-driven solution transforms behavioural data into actionable mental health insights.
Indian Traffic Signs Recognition with Deep Learning Models
AI-based Indian Traffic Signs Recognition System with Django & deep learning models for accurate, real-time traffic sign detection and road safety.
Driver Drowsiness Detection | AI & Vision Real-Time Safety
Detect driver fatigue in real time with this AI-powered drowsiness detection system. Using computer vision and machine learning, it monitors eye closure, yawning, and head movement to help prevent accidents and improve road safety.
Brain Tumour MRI Detection using Deep Learning: Real-Time AI Classification System
Brain Tumour MRI Detection System: An AI-powered web platform using deep learning (DenseNet, Xception, MobileNet) for real-time, multi-class brain tumour classification from MRI scans. Fast, accurate, and clinically relevant—empowering early diagnosis and better patient outcomes.
Anomaly Detection in Data using Machine Learning
Detect unusual patterns in data using advanced machine learning techniques. Ensure data integrity, prevent fraud, and improve system reliability.