Hackathon Showcase
HEAL
Team consisting of Siaga Labs Junior Dev (BSc Universiti Malaysia Pahang, React/TypeScript, microservices), ALFA & Friends Laravel/Vue dev (BSc Bioinformatics, 4y), full‑stack PHP/Node/AWS developer.
YouTube Video
Project Description
Purpose
AI assistant that transcribes, analyzes, and summarizes doctor patient consultations in real time, reducing documentation time and improving accuracy.
Problem
Doctors lose time and cannot focus between listening, questioning, and note taking which can cause incomplete records, missed details, less patient engagement.
Solution
- Real Time Transcription – Whisper LLM captures conversations
- Key Info Extraction – Patient history, symptoms, concerns
- Structured Summaries – Concise, standardized medical notes
Workflow
- Start consultation → AI listens & transcribes
- AI processes → extracts & structures key details
- Doctor reviews → added to patient record
Tech Stack
Languages: PHP (Laravel), JS (React.js)
Frameworks: Laravel Inertia.js, Tailwind CSS
AI Models: OpenAI Whisper, Llama Maverick
Approach: Prompt engineering
Team
Products & Tools
Groq
Additional Links
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