AI Dermatology Assistant with Multi-Model Diagnosis and Hinglish Voice AI
Hackathon-built AI dermatology assistant that combines multiple models for skin-condition assessment with a Hinglish voice interface, built and deployed in 36 hours.
Business Challenge
Access to dermatologists is limited for many people in India, and most digital health tools are text-based and English-only. That leaves out users who are more comfortable speaking Hinglish, and single-model tools can give unreliable first assessments of skin conditions.
Solution Delivered
Built and deployed an AI dermatology assistant during the HackIndia Spark 4 2026 hackathon. It uses a multi-model approach to diagnosis, combining several models rather than relying on one, and adds a Hinglish voice AI interface so users can describe symptoms and receive guidance by speaking naturally. The assistant is intended as an accessible first step, not a replacement for a doctor.
Outcomes Achieved
A working, deployed assistant was delivered in 36 hours and advanced to Round 2 of HackIndia Spark 4 2026. The Hinglish voice interface makes AI skin-health guidance accessible to users who are not comfortable with English text interfaces.
Measurable Business Outcome
Built and deployed in 36 hours; advanced to Round 2 of HackIndia Spark 4 2026.