Hybrid AI-Based Skin Cancer Detection and Reporting System Using Computer Vision and Large Language Models

Author(s)	Ms. Pooja Arun Mande, Prof. Sachin B Bhosale, Dr. Anand A Khatri, Dr. Shubhangi D Gunjal
Country	India
Abstract	This project proposes a software-only hybrid skin cancer detection system integrating computer vision and large language models (LLMs). Users can capture or upload skin lesion images, which are analyzed using deep learning models combined with the ABCDE rule (Asymmetry, Border, Color, Diameter, Evolution). The system predicts lesion type, risk level (Low, Moderate, High, or Urgent), and provides medical suggestions. An LLM generates two reports: a simple summary for patients and a structured clinical report for doctors, which can be securely shared. The system aims to enable early detection, timely intervention, and improved doctor–patient communication, ensuring safety, privacy, and explainability.
Keywords	Skin Cancer Detection, Computer Vision, Large Language Models, ABCDE Rule, Deep Learning, Telemedicine.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-11-09
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.59947

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International Journal For Multidisciplinary Research