AI-Powered Multi-Disease Prediction Chatbot
Budget: ₹1,500 – ₹12,500 INR
Project Title: AI-Powered Multi-Disease Prediction Chatbot
Project Description:
We are looking for an experienced AI/ML developer to build an AI-powered chatbot capable of predicting multiple diseases based on user-input symptoms. The chatbot should use trained machine learning models on medical datasets to provide accurate and explainable health predictions through a conversational interface.
Key Features:
Predicts the likelihood of multiple diseases (e.g., Diabetes, Heart Disease, Parkinson’s, Liver Disease, etc.)
Conversational chatbot interface where users enter symptoms naturally
Real-time disease prediction with probability score
Displays preventive measures and health suggestions
Smooth integration between frontend and backend systems
Technical Requirements:
Frontend: React.js / Next.js / HTML / CSS
Backend: Flask / Django / Node.js
Machine Learning: Python (Scikit-learn / TensorFlow / PyTorch)
Database: MySQL / MongoDB
Chatbot Engine: Rasa / Dialogflow / Custom NLP model
Deployment: AWS / Heroku / Render / Any cloud platform
Deliverables:
Fully functional AI-powered multi-disease prediction chatbot
Integrated machine learning models
Documentation (setup, architecture, and model explanation)
Model accuracy and testing report
Project Description:
We are looking for an experienced AI/ML developer to build an AI-powered chatbot capable of predicting multiple diseases based on user-input symptoms. The chatbot should use trained machine learning models on medical datasets to provide accurate and explainable health predictions through a conversational interface.
Key Features:
Predicts the likelihood of multiple diseases (e.g., Diabetes, Heart Disease, Parkinson’s, Liver Disease, etc.)
Conversational chatbot interface where users enter symptoms naturally
Real-time disease prediction with probability score
Displays preventive measures and health suggestions
Smooth integration between frontend and backend systems
Technical Requirements:
Frontend: React.js / Next.js / HTML / CSS
Backend: Flask / Django / Node.js
Machine Learning: Python (Scikit-learn / TensorFlow / PyTorch)
Database: MySQL / MongoDB
Chatbot Engine: Rasa / Dialogflow / Custom NLP model
Deployment: AWS / Heroku / Render / Any cloud platform
Deliverables:
Fully functional AI-powered multi-disease prediction chatbot
Integrated machine learning models
Documentation (setup, architecture, and model explanation)
Model accuracy and testing report