FindCare

AI-assisted platform connecting patients with relevant health practitioners

Problem

Patients often struggle to:

Understand their symptoms
Find the right health practitioner for their needs
Communicate symptoms clearly during consultations

At the same time, health practitioners face:

Poorly structured patient information
Time lost during initial consultations
Difficulty reaching patients who match their expertise

Solution

FindCare is a platform that connects patients to health practitioners using AI-assisted diagnosis insights to improve matching and communication.

The platform helps:

Patients get preliminary, non-definitive insights based on their symptoms
Practitioners receive structured summaries instead of raw chat messages
Both sides save time and improve consultation quality

⚠️ The AI does not replace medical professionals — it supports better decision-making and routing.

Key Features

Patient Experience

Chat-based symptom description
AI-generated summaries of patient concerns
Search for practitioners by specialization
Book calls for consultations

Practitioner Experience

AI-assisted diagnosis insights
Patient recommendations based on symptom patterns
Structured summaries of patient chats
Relevant medical context surfaced before consultations

My Role

Frontend Engineer (Team Project)

Built core user interfaces for patient and practitioner flows
Implemented search and practitioner discovery UI
Integrated booking and consultation flows with backend APIs
Translated product requirements into responsive, accessible UI
Collaborated closely with backend and AI team members

This project strengthened my ability to work in cross-functional teams under real delivery timelines.

Technical Stack (Frontend)

Modern frontend framework (React-based - Next.js)
Component-driven UI architecture
API-driven state management
Emphasis on usability and clarity for sensitive health workflows
Tailwind CSS for responsive styling

Key Challenges & Learnings

Designing clear, calm UX for health-related interactions
Handling incomplete or ambiguous patient input gracefully
Ensuring AI outputs were presented as assistance, not medical conclusions
Coordinating frontend delivery with evolving backend APIs

This required constant iteration and close communication with the team.

Impact

Delivered a functional end-to-end healthcare platform prototype
Demonstrated AI-assisted patient–practitioner matching
Successfully completed as a capstone project for the Microsoft ADC Student League Programme

Why This Project Matters

This project shows my ability to:

Build user-focused frontend systems in regulated domains
Collaborate effectively in a team environment
Translate AI outputs into understandable UI
Ship real products under structured programs