AI-Based Brain Tumor Classification
CNN-based brain tumor detection system achieving 93.2% accuracy on MRI scans. Published research with real-world medical impact potential.
AI/ML Systems
AI/ML systems bridging academic research and industrial applications. From medical imaging to industrial automation and social impact.
CNN-based brain tumor detection system achieving 93.2% accuracy on MRI scans. Published research with real-world medical impact potential.
Industrial anomaly detection system for valve failure prediction achieving $2.3M in annual savings. Deployed in production environments.
Multi-disease classification system supporting X-rays, CT scans, and MRIs with 95%+ accuracy. Comprehensive medical imaging solution.
Multi-model BILSTM hate speech detection and prevention tool addressing harmful online content in South Asian contexts. Actively educates users to promote respectful online communities.
AI-based decision support system for Punjab farmers. Provides crop disease detection and yield prediction through accessible Urdu interface for illiterate and semi-literate farmers.
Innovative tourist platform revolutionizing travel in Pakistan with personalized itineraries, real-time security alerts, disaster notifications, and seamless local vendor integration.
Advanced anomaly detection system using causal inference achieving 60% reduction in false positives for industrial applications.
ANN-based customer churn prediction system for telecom industry with high accuracy and actionable insights for retention strategies.
Deep learning model for MNIST handwritten digit recognition achieving state-of-the-art accuracy with optimized architecture.