Inspiration
I wanted to simplify the overwhelming administrative load that doctors face and ensure healthcare can be accessible for patients. MediAssist was born from the idea that AI can bridge the gap between technology and care, which allows helping healthcare professionals focus more on patients and less on paperwork
What it does
MediAssist is an AI-Powered healthcare Assistant that: Answers general medical questions in real time Simulates appointments scheduling and patient communication provides quick health tips and recommendation can be extended for diagnostics, patient monitoring, or record automation
How we built it
Frontend: HTML, CSS, and JavaScript for a simple, clean chat UI backend: Flask (Python) web server AI Engine: OpenAI GPT API Integration: JSON-based POST requests between the UI and Flask endpoint
Challenges we ran into
Paid subscription for API setting up and authenticating the openAI API securely Handling expired or invalid API keys Building a responsive, interactive chat interface Managing local testing without exceeding API quotas
Accomplishments that we're proud of
Built a fully completed AI chatbox from scratch within the hackathon time limit Designed a smooth, minimal user interface Learnt how to integrate AI models into a Flask web app Developed a project that can genuinely reduce workload in healthcare
What we learned
Exceptional knowledge improved within HTML, CSS, and JavaScript, as well as Python Using Flask to handle asynchronous requests connected frontend chat systems to AI APIs Managed API keys securely with environment variables Importance of clear, conversational AI design in healthcare contexts
What's next for MediAssist
Integrate patient data securely for personalized insights Add speech-to-text and voice replies Implement a doctor dashboard for booking and follow-ups Expand to mobile and EHR systems integration
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