Health Wellness Platform
Budget: ₹600 – ₹1,500 INR
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.
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.
Related categories:
JavaScript
Python
CSS
Django
Machine Learning (ML)
Git
Web Development
Flask
AI Model Development
AI Development