Worked with django flutter python ai
Description
PLATON was an integrated ecosystem designed to support patients receiving intravenous medication via in-body port machines. The solution consisted of two main interfaces:
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Patient Interface (Android App): Built with Flutter, patients received real-time notifications about their in-body medical device, upcoming or active medication injections, and could interact with a chatbot that collected feedback through guided questionnaires. These responses were stored for research and analysis.
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Doctor Interface (Web Dashboard): Also developed in Flutter, doctors had access to a real-time dashboard showing each patient's device status, complete medication history, and all chatbot feedback entries.
My Role:
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Backend Development (Lead): Designed and implemented the entire backend using Django REST Framework, following the MVT (Model-View-Template) architectural pattern. The backend was modularized into separate Django apps for:
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Chatbot engine
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Medication tracking
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ARMS (Automated Remote Monitoring System for in-body devices)
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Managed PostgreSQL as the central database.
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Designed RESTful APIs for seamless data communication between mobile/web clients and server.
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Frontend Development:
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Built the entire UI and frontend logic for both the Android and Web applications using Flutter, ensuring design consistency and performance across platforms.
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Key Features & Technologies:
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Real-time Monitoring: Live data updates from embedded devices.
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Cross-platform Frontend: Flutter for both mobile and web.
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Modular Backend Architecture: Decoupled services for scalability and clarity.
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Secure Data Handling: Ensured patient data privacy and secure transmission.
This project demonstrated end-to-end product development for a healthcare-focused IoT application, combining real-time monitoring, chatbot integration, and cross-platform delivery.