Project Creator : Anirudh & Udit

Stage : MVP

Funding Type : Grant/Fellowship

Website : https://trackivf.com

Project Details :

1. Project Overview

EmbryoVision AI is a medical-grade, AI-powered platform designed to deliver instant, clinical-quality analysis of human embryo images. By harnessing state-of-the-art computer-vision and predictive-analytics models, it enables fertility clinics and research labs to streamline grading, improve decision-making, and maintain a secure, audit-ready record of every analysis.

2. Key Features

• Computer Vision Engine

  Trained on thousands of annotated embryo images to extract morphological markers and detect subtle developmental cues.

• Predictive Analytics

  Delivers viability scores and stage-specific prognostics, helping embryologists forecast implantation potential.

• Clinical-Grade Security

  End-to-end encryption, HIPAA-aligned data controls, and multi-factor authentication ensure patient confidentiality and regulatory compliance.

• Analysis History & Reporting

  Centralized dashboard tracks past uploads, scores, and recommendations—facilitating case reviews and retrospective audits.

3. User Workflow

1. Image Upload
   • Users submit high-resolution JPEG/PNG embryo photographs (≤ 10 MB).
2. Stage Selection
   • Choose the developmental day (1–7) to contextualize grading algorithms.
3. Instant Results
   • Receive a detailed report with embryo grade, viability score, and clinical insights within seconds.
4. Export & Share
   • Download PDF reports or integrate results via API into existing lab-information systems.