Feature request: Symptom Analyzer with ML and Doctor Recommendation

[Titus210]

Problem Description:

Users often struggle to determine which doctor to consult based on their symptoms, leading to delayed care. An automated system that analyzes symptoms and recommends the appropriate specialist can improve healthcare efficiency and reduce guesswork for users.

Proposed Solution:

Develop a symptom analyzer using Python (backend) and React (frontend).

Frontend (React):

• Create a user-friendly form for inputting symptoms.
• Display the recommended doctor based on analysis results.
• Include loading states and error handling for better UX.

Backend (Python/ML):

• Build and integrate an ML model trained on healthcare datasets to analyze symptoms.
• The backend should process user input, predict possible conditions, and return doctor recommendations.
• Use Flask/Django for API communication with the React frontend.

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