Problem
Healthcare teams need faster diagnostic support without forcing patients and clinicians into disconnected tools.
Case Study
PulseCare AI - Intelligent Cardiac Diagnostics & Telehealth Platform
AI-powered ECG interpretation, remote consultations, and real-time healthcare intelligence in a unified clinical platform.
Business Impact
Improves speed of review, keeps diagnostic context in one place, and creates a path for remote care experiences.
Healthcare AIDeep LearningSignal ProcessingReal-time SystemsFull Stack Development
Solution
Built an AI-assisted ECG interpretation and telehealth workflow with inference, patient flows, and consultation features.
Business Impact
Improves speed of review, keeps diagnostic context in one place, and creates a path for remote care experiences.
Delivery Notes
What this proves for a client project.
The goal is not to copy this exact product. It is to show the kind of product thinking, backend structure, AI workflow, and shipping discipline that can transfer to your business.
Built AI-driven healthcare platform combining ECG diagnostics, telemedicine, and patient monitoring
Integrated transformer-based ECG classification pipeline with near real-time clinical inference
Implemented secure video consultations, digital health records, and AI-assisted diagnostic workflows
Designed scalable backend services and healthcare-focused system architecture for responsive care delivery
Developed anomaly detection and rhythm classification pipelines using custom ECG preprocessing workflows
Technology Stack
Tools used after the business case was clear.
PyTorchReactFlaskWebRTCSciPyNumPyWFDBScikit-learn
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