Project information
- Category: Python Project
- Project date: 17 March, 2025
- Project URL: none
- Project Name: Ayuvibe Health Portal ๐ฉบ
- Technologies Use: Python
๐ฉบ Ayuvibe Health Portal โ Represents a complete 360ยฐ digital healthcare solution.
๐ Overview:
Ayuvibe is a modern health portal platform developed using Flask that bridges the gap between patients and doctors. With two distinct login modes (Doctor ๐จโโ๏ธ & Patient ๐ฉโโ๏ธ), it allows for secure and role-based access, streamlining medical consultations, records, and communication.
๐ก Features & Functionality:
- ๐ Dual Authentication System: Separate login and dashboard for Doctors and Patients using JWT
- ๐ Appointment Management: Patients can book appointments; Doctors can view/manage them
- ๐งพ Medical Records: Patients can view prescriptions; doctors can upload and modify records
- ๐ฌ Chatbot Integration: Intelligent health chatbot support powered by custom Python AI scripts
- ๐ Role-based Dashboards: Intuitive, clean UI for each user role
๐ง Technical Highlights:
- Backend Framework: Flask with modular structure
- Authentication: JWT-based secure session handling
- Database: SQLite for user info, appointments, and records
- Routing: Handled via `routes/`, utilities in `utils/`
- AI: Python scripts (`train_chatbot.py`) for bot training and interaction
๐จโโ๏ธ Doctor Login Workflow:
- Registers via doctor signup
- Logs in to secure dashboard
- Views and manages appointments
- Writes and updates medical records
๐ฉโโ๏ธ Patient Login Workflow:
- Registers via patient signup
- Logs in and gets JWT authentication
- Books appointments, views prescription, interacts with chatbot
๐ฉบ Working Mechanism of Ayuvibe ๐ก
Ayuvibe is a Python-based healthcare web application developed using the Flask framework that streamlines digital interaction between patients and doctors. Upon accessing the platform, users are presented with two login options โ one for Patients and one for Doctors. After secure login via JWT authentication, patients can book appointments by browsing available doctors based on their specialization. The appointment form captures necessary patient details, which are stored securely in a SQLite database. Doctors, on the other hand, log in to view and manage upcoming patient appointments, update availability, and review case histories. A standout feature of Ayuvibe is its integrated AI-powered chatbot, which guides patients through symptoms, FAQs, and booking steps, providing 24/7 support ๐ค. The chatbot leverages natural language processing to ensure intuitive user interaction. Additionally, the system maintains separate dashboard views: the Patient Dashboard displays appointment history, upcoming visits, and chatbot suggestions, while the Doctor Dashboard highlights new bookings, patient information, and analytics. All communication is managed within the backend Flask server, ensuring a lightweight, responsive experience. Overall, Ayuvibe bridges the communication gap in healthcare by offering a seamless, accessible, and secure digital consultation platform ๐ฅ๐ฌ.
๐ฏ Conclusion:
Ayuvibe is more than just a project โ it's a complete healthcare interaction platform that shows how Python, Flask, and web technologies can deliver real-world, impactful solutions. Perfect for clinics, startups, or individual doctors looking to digitize their services.