In recent times, the healthcare sector is gaining maximum mileage from AI to make healthcare delivery more patient-centric and process-efficient. This project will develop an AI-driven chatbot that will aid patients in scheduling appointments, symptom analysis, and providing general healthcare advice using verified medical databases. It acts as a virtual assistant in reducing the burden on the providers and improves patient engagement and access to care.
Weeks 1-2: Project Planning and Requirement Analysis
Identify key functionalities for the chatbot.
Research medical knowledge sources for integration.
Define user personas and interaction flow.
Weeks 3-4: Dataset Collection and NLP Model Setup
Gather medical datasets for training NLP models, for example, symptom descriptions.
Configure and test NLP frameworks such as Spacey or Hugging Face.
Weeks 5-6: Chatbot Development - Core Features
Implement core features of the chatbot such as handling user queries and symptom analysis.
Teach the chatbot to recognize medical terms and user intentions.
Weeks 7-8: Integration and Enhancements
Integrate the chatbot with a database that carries FAQs and advice for symptom-related advice.
Add features for appointment scheduling and reminders about medicines.
Weeks 9-10: Development and Testing of the User Interface
Design and develop a simple UI for chatbot interaction (e.g., web or mobile app).
Conduct testing to refine NLP accuracy and user interaction flow.
Weeks 11-12: Final Testing and Deployment
Conduct end-to-end testing with simulated user scenarios.
Deploy the chatbot to a cloud environment for demonstration.
Finalize documentation and presentation materials.
