Last-Mile Vision Care,
Powered by AI.

ChákṣuAI is an AI-powered diagnostic platform designed to prevent preventable blindness across India by enabling frontline healthcare workers to deliver comprehensive eye care. Using India-specific AI models trained on the Chákṣu dataset, it provides accurate disease classification, abnormality detection, and retinal segmentation.

How It Works

1. Capture Retinal Images

Use smartphone-based fundus imaging attachments or standard equipment to capture high-quality retinal images suitable for AI analysis.

2. AI-Powered Diagnosis

Our India-specific AI models, trained on the Chákṣu dataset, analyze images using advanced CNNs and Transformers for accurate disease detection and classification.

3. Comprehensive Reports

Receive detailed diagnostic reports with explainable AI visualizations, helping healthcare workers make informed decisions and referrals.

4. Expert Consultation

Access our ophthalmology-specific chatbot powered by fine-tuned LLM with RAG to assist in primary screening and treatment planning.

Core Features

  • Multi-Disease Classification: Diagnose key eye diseases including diabetic retinopathy, glaucoma, and age-related macular degeneration (AMD) from fundus images.
  • Abnormality Detection: Identify and locate specific biomarkers such as microaneurysms, haemorrhages, and exudates with high precision.
  • Advanced Retinal Segmentation: Perform detailed segmentation of anatomical structures including optic disc, optic cup, retinal vessels, and lesions.
  • India-Specific AI Models: Trained on the Chákṣu dataset and other India-specific data to ensure high demographic relevance and reduced bias.
  • Explainable AI: Provides visual explanations and transparency in model predictions, enabling trust and verification by healthcare professionals.
  • Integrated Chatbot: Ophthalmology-specific LLM with Retrieval Augmented Generation (RAG) to assist frontline healthcare workers in screening and referrals.
  • Smartphone Compatible: Optimized for deployment on smartphones with low-cost fundus imaging attachments for remote healthcare settings.
  • Cost-Effective Solution: Designed to be accessible and affordable, breaking down cost barriers for rural and underserved communities.

Latest News & Updates

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Meet Our Team

Team Member Chandra Sekhar Seelamantula

Prof. Chandra Sekhar Seelamantula

Project Supervisor

Team Member Sasidhar Alavala

Sasidhar Alavala

Research Assistant

Team Member Pramath Haritz

Pramath Haritz

Research Intern