Overview
TapDoc is an AI-powered health analysis mobile application designed to provide users with intelligent, accessible, and on-demand healthcare support. It combines AI-driven medical assistance with real doctor connectivity, enabling users to better understand their health, manage medical reports, and access professional care anytime.
The app allows users to chat with an AI health assistant to discuss symptoms, get preliminary health insights, and understand possible conditions based on their inputs. Users can also upload medical reports such as lab results, prescriptions, or scans, which the AI analyzes to provide simplified explanations and health guidance.
In addition to AI support, TapDoc connects users with certified doctors for appointment booking, real-time chat consultations, and video calls. This hybrid approach ensures users can receive both instant AI assistance and professional medical advice when needed.
The platform also supports appointment scheduling, reminders, and medical history tracking, allowing users to maintain a complete digital record of their health journey. Notifications keep users updated on consultations, follow-ups, and health recommendations.
From a technical perspective, TapDoc integrates AI/NLP models for symptom analysis and report interpretation, along with secure telemedicine infrastructure for video and chat-based consultations. It is built with a strong focus on privacy, data security, and regulatory compliance.








Tech stack
- React Native
- C#
- .NET Core
- Web API
- Entity Framework Core
- SQL Server
- Redis
- SignalR
- WebSockets
Tools used
- GitHub
- VS Code
- Swagger
- Figma
- Adobe Photoshop
- Stripe
- GitHub Copilot
- Linear

