Face Illness Identification with Neural Networks presents an innovative approach to health screening by analyzing facial features for signs of illness. Leveraging neural networks, the system processes facial images to identify potential symptoms or indicators of various health conditions. This project holds potential applications in early disease detection, especially in situations where traditional diagnostic methods may be limited. By providing a non-invasive and quick assessment tool, this application contributes to proactive healthcare and early intervention strategies.
Software Requirements :-
1. Operating System: Win 7 or more
2. Programming Language: Python
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM