“Symptom and Image-Based Diagnosis System using Machine Learning”
Budget: ₹600 – ₹1,500 INR
I need a cutting-edge diagnostic system developed using Machine Learning. This system should focus on general health symptoms and analyze skin photos.
Ideal Skills and Experience:
- Proficiency in Machine Learning and AI
- Experience with image analysis, specifically skin photos
- Knowledge in general health diagnosis
- Strong software development skills
Key Features:
1. Symptom-Based Diagnosis:
• Users can input their symptoms through a simple interface.
• The system will use Natural Language Processing (NLP) models to analyze the input and
predict potential diseases, providing relevant medical information.
2. Image-Based Diagnosis:
• Users can upload images of external injuries.
• Using a Convolutional Neural Network (CNN) model, the system will analyze the image to
determine the injury type and severity.
3. Comprehensive Disease Information:
The system will present detailed information on the diagnosed condition, including:
• Causes
• Recommended Medicines
• Recovery Time
• Diet plan for a faster recovery
4. Chatbot Integration:
• A conversational AI-powered chatbot will interact with users to provide further details on
the diagnosis and additional self-care tips
Ideal Skills and Experience:
- Proficiency in Machine Learning and AI
- Experience with image analysis, specifically skin photos
- Knowledge in general health diagnosis
- Strong software development skills
Key Features:
1. Symptom-Based Diagnosis:
• Users can input their symptoms through a simple interface.
• The system will use Natural Language Processing (NLP) models to analyze the input and
predict potential diseases, providing relevant medical information.
2. Image-Based Diagnosis:
• Users can upload images of external injuries.
• Using a Convolutional Neural Network (CNN) model, the system will analyze the image to
determine the injury type and severity.
3. Comprehensive Disease Information:
The system will present detailed information on the diagnosed condition, including:
• Causes
• Recommended Medicines
• Recovery Time
• Diet plan for a faster recovery
4. Chatbot Integration:
• A conversational AI-powered chatbot will interact with users to provide further details on
the diagnosis and additional self-care tips