AI/ML Based Disease Prediction & Medication Recommendation Website

Job ID: 39647793

Budget: $5 – $6 USD

I am looking to develop a smart, AI/ML-based Disease Prediction and Medication Recommendation System as a web application. The system should take user-inputted symptoms and intelligently predict the most probable disease, along with recommendations like:

Precautions to take

Suggested medications (basic, OTC level only)

Diet plans

Workouts or exercises

When to consult a doctor

Key Features Required:
Frontend:
Clean, responsive UI/UX

Input form for symptoms (multi-select)

Display prediction result with disease name, accuracy/confidence %

Display recommended:

Precautions

Medications

Diet and workout plans
Backend (AI/ML):
Disease prediction using ML model (decision tree, random forest, or deep learning)

Dataset-based training (can use open datasets like Disease Symptom Dataset from Kaggle)

API integration between frontend and ML model

Admin Panel (Optional):
Upload dataset

View submitted symptoms and prediction history

Tech Stack Preference (Optional):
Frontend: HTML/CSS/JS or React

Backend: Python (Flask or Django)

ML: scikit-learn / TensorFlow / PyTorch

Deployment: Heroku / Render / AWS / Railway

Deliverables:
Complete source code with documentation

Dataset used and ML model training code

Hosted working demo (optional but preferred)

README and project explanation

Future support for enhancements (preferred)
Timeline:
I expect the MVP in 7-10 days

Full deployment with polishing in 2-3 weeks

When Bidding:
Please include:

Your previous AI/ML or healthcare-related projects

Tools/tech you will use

Delivery time

Any queries/suggestions

Note:
This is for educational & research purpose, not for real-time diagnosis or commercial prescriptions.