Applied AI
Predictly
A real-estate valuation dashboard that combines market context with transparent, local image-quality signals.
Case study · Applied AI
Smart Doctor Connect
Hackathon · Healthcare
A healthcare-assistance concept developed for the Mind to Machine 2026 AI hackathon.
01 / Context
The problem
Healthcare information and service discovery can be fragmented. The project explores a more accessible digital entry point for people seeking assistance.
My role: Hackathon participant project; implementation details and team contribution should be read from the repository.
02 / Implementation
How it works
01Prototype the workflow
The project was developed in a hackathon setting, prioritizing a demonstrable user journey and working prototype.
Implementation highlights
- Built as part of the Mind to Machine 2026 event at COMSATS Wah
- Healthcare-oriented user flow and service concept
- Public repository and live demo available for review
03 / Evidence
What can be verified
The points below summarize the public repository and owner-provided CV where noted. Read the source for implementation details and the evaluation setup before drawing further conclusions.
ContextMTM 2026
Mind to Machine AI Hackathon, May 2026.
04 / Boundaries
Limitations and next questions
- A hackathon prototype is not a clinically validated healthcare product.
- Specific model, data, and safety claims should only be made after reviewing the implementation and event deliverables.
Evidence-first note: a live demo demonstrates an interface and workflow; it does not by itself validate model quality, security, or real-world impact.
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