Medify+
Empower Your Health With Smart Care
The problem Medify+ solves
- Fragmented Tele-Triage & Diagnostics
Traditionally, remote consultations require juggling multiple tools (audio recorder, transcription service, EMR portal).
Medify unifies live audio capture, speech-to-text, and clinical metadata in one seamless “fusion” pipeline—so clinicians get a single, synchronized patient summary without manual copy-paste.
2.Unsecured Patient Data
PHI leaks and tampering pose serious compliance and legal risks.
By embedding JWE encryption for all payloads in transit, JWS signatures for integrity, and end-to-end AES-GCM at rest, Medify ensures every byte of patient data is private and tamper-proof.
3.Complex DevOps & Environment Drift
“Works on my machine” syndrome slows down teams when native dependencies (FFmpeg, Crypto libs) diverge.
We solved this with Docker-compose manifests, pinned base images, and a GitHub Actions CI pipeline—guaranteeing that every pull request builds, tests, and lines identically to production.
Challenges we ran into
- Building a High-Throughput Fusion Model
Challenge:
Combining audio, text, and clinical metadata into a single “fusion model” pipeline introduced diverse data modalities and synchronization issues.
Solution:
I designed a modular pre-processing layer—using separate FastAPI background tasks for audio transcription (via our custom speech-to-text), metadata normalization, and text embeddings. This reduced end-to-end latency by over 40% and kept each component independently testable.
2.Missing GROQ API Key
Symptom:
Initializing the Groq client blew up with-
GroqError: The api_key client option must be set…
Solution:
Exported the GROQ_API_KEY environment variable before launch