This mini project is an innovative fusion of Machine Learning (ML) and Artificial Intelligence (AI) designed to elevate medical education. Featuring two interfaces for patients and aspiring doctors. A pivotal feature introduces an AI-generated patient exhibiting lifelike symptoms and presenting a simulated body temperature. Students should diagnose and prescribe medications, and then they receive real-time feedback with alternative suggestions through a user-friendly interface. The application will take the access of camera and microphone to get the data from students so as to provide an immersive learning experience. Enhancing realism, the AI patient expresses emotions through audio and visual cues. Another noteworthy feature is the Optical Character Recognition (OCR), which scans medicines, providing information on about the medicine and its uses . The project facilitates peer-to-peer interactions and introduces AI-driven consultations for remote patient monitoring through a chatbot. The medicine interface covers both English and Ayurvedic medicines for inclusivity.
- Move to web/client
cd web/clientnpm inpm start- Move to web/api
cd web/apiwget 'https://iiitaphyd-my.sharepoint.com/personal/radrabha_m_research_iiit_ac_in/_layouts/15/download.aspx?share=EdjI7bZlgApMqsVoEUUXpLsBxqXbn5z8VTmoxp55YNDcIA' -O './Wav2Lip/checkpoints/wav2lip_gan.pth'
pip install https://raw.githubusercontent.com/AwaleSajil/ghc/master/ghc-1.0-py3-none-any.whl
wget "https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth" -O "./Wav2Lip/face_detection/detection/sfd/s3fd.pth"
pip install -q youtube-dlpython server.py