A comprehensive AI-driven security system that utilizes Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) to detect alcohol intoxication through real-time facial analysis and biometric feature extraction.

Enterprise-grade cybersecurity application that detects phishing attempts using advanced Natural Language Processing. It features a robust Python Flask backend integrated with an intuitive Android frontend for real-time mobile security alerts.

High-precision spam classification engine built with Python and Scikit-Learn. It employs sophisticated TF-IDF vectorization and Naive Bayes algorithms to distinguish between legitimate communication and malicious spam with minimal false positives.

Advanced URL threat intelligence platform that categorizes web links using a multi-algorithm ensemble of Random Forest, XGBoost, and SVM, providing a secure shield against web-based security vulnerabilities and cyber attacks.

A secure, token-based authentication framework developed with Flask and JWT. It implements industry-standard security practices including bcrypt password hashing, session management, and granular API route protection for modern applications.

Innovative security auditing tool that identifies SQL injection vulnerabilities using Machine Learning classification. It provides a real-time web interface powered by Flask, allowing developers to test and secure their databases against payloads.

Next-generation security awareness and training platform designed to bridge the gap between complex cryptographic standards and human intuition. It features an interactive Cyber-Grid engine and comprehensive modules on identity management.