Background: I’m a BAMS (Bachelor of Ayurvedic Medicine and Surgery) student with a vision to innovate Ayurveda using AI and machine learning. My goal is to develop a high-tech, full-stack application that will allow users to upload facial images and voice recordings for diagnosis. The app will analyze these inputs to determine their Prakriti (body constitution – Vata, Pitta, or Kapha) and identify any Dosha imbalances. The app will then provide personalized health recommendations based on the findings.
This project will combine Ayurveda, AI/ML, image processing, voice analysis, and healthcare technology, and aims to make Ayurveda more accessible and precise in the modern world.
Project Idea:
Prakriti Detection: The app will use AI/ML algorithms to analyze a user's facial features (based on ancient Ayurvedic principles) and voice recordings to classify their Prakriti (Vata, Pitta, or Kapha).
Dosha Imbalance Detection: By assessing physical characteristics from the image (e.g., face shape, complexion) and behavioral patterns from voice tone (e.g., anxiety, calmness), the app will detect if any Dosha imbalances are present.
Health Recommendations: Based on the Prakriti and Dosha analysis, the app will suggest Ayurvedic lifestyle adjustments, diet plans, and therapies.
User Experience: The app will have a modern, aesthetically pleasing user interface with a smooth user experience, making Ayurvedic diagnosis both interactive and accessible.
I’m looking for experienced AI/ML developers, full-stack developers, and health tech experts who can:
Contribute to training the AI models for facial and voice recognition.
Build an intuitive, user-friendly front-end and a secure, fast backend.
Help me design and structure the app’s architecture so that it can scale.
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