AI Dermatologist Diagnostic Platform

Completed computer vision healthcare system utilizing deep convolutional networks for automated skin lesion segmentation and dermatological risk classification.

Computer VisionLesion SegmentationDermatology AI

Students

AI Dermatologist Team

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Computer Vision ResearchCOMSATS University Islamabad, Lahore Campus

Supervised Projects Portfolio

More Supervised Projects

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Full-Stack & Systems

MegiLance — AI and Blockchain-Powered Freelancing Platform

A supervised final-year engineering development project combining a full-stack freelancing marketplace with AI decision assistance and blockchain payment escrow.

Ghulam Mujtaba, Muhammad Waqar Ul MulkView Case Study

Vulnerability & Security

Software Vulnerability Detection using LLM Model

A running research project leveraging Large Language Models (LLMs) to detect complex software vulnerabilities in source code through fine-tuning and AST-based prompt engineering.

Syed Muhammad Irtaza Shahid, Muhammad Waleed, Muhammad Muneeb AzharView Case Study

Vulnerability & Security

Token-Based Semantic Code Clone Detection

A running software security project building a scalable token-based semantic code clone detection platform to capture Type-3 and Type-4 clones across large open-source repositories.

Ali Muhammad, Ali Murtaza, Hafiz Muhammad Shams ul HudaView Case Study