DermaScan

DermaScan homepage
Skin picture upload
Skin disease prediction
Home remedies
Skin health scores
DermaScan system architecture
Dermascan AI ML architecture and flow

🧠 Project Title: DermaScan – AI-Powered Skin Health & Beauty Analysis

Project Description – What We Built and Why It Matters

DermaScan is an AI-powered skin health analysis and beauty assessment platform designed to help users understand and improve their skin condition. By using computer vision and machine learning, the platform scans facial images to detect potential skin diseases, identify problem areas, and provide personalized health insights and home remedies.

The idea originated from the growing challenge of limited access to dermatologists and the increasing prevalence of skin issues caused by pollution, diet, and lifestyle factors. Our goal was to create a cost-effective, accessible, and data-driven AI solution that empowers individuals to proactively manage their skin health.

DermaScan goes beyond diagnosis—it also performs a facial beauty analysis, assessing symmetry, skin tone, texture, and overall health. The AI engine then generates personalized recommendations for skincare improvement and wellness.

We chose to focus on accuracy, user trust, and intuitive design, ensuring that the platform feels professional yet approachable. By merging AI/ML models with a smooth web interface, DermaScan bridges the gap between healthcare and technology—making AI dermatology both reliable and easy to use.

GitHub Repository Link

🔗 https://github.com/shubhamjh15/DermaScan

Team Members

Shubham
Panthkrit Kaur
Ankush Barua

AI Tools Disclosure – What AI Tools Were Used and How

Google Gemini 2.5 Flash – Used for generating insights, optimizing disease classification models, and analyzing dataset patterns.
ChatGPT (GPT-5) – Assisted in developing model logic, optimizing prompts, and drafting accurate user interaction flows.
v0 by Vercel – Used to quickly generate and refine frontend UI components for the web application using AI-assisted design.

Our team ensured all AI tools were used ethically, with human supervision for validation and refinement of results.