AI TB Detection and Lung Disease Classification CSR Project

Data Collection and AI/ML based model and software development to boost rapid detection and classification of lung diseases

Objective

• The proposed project aims to develop an AI-driven software solution for the detection and classification of TB and other lung diseases.

Description

• The project will employ a data-centric approach, focusing on high-quality data collection efforts and deeptech software development., Data Centric Approach, Development of innovative software utilizing Deeptech, Partnerships with local healthcare facilities, NGOs, and community leaders will facilitate access to healthcare settings and communities and leveraging AI/ML, and medical imaging technologies, the project will aim to develop a robust model and software that will facilitate faster and accurate diagnosis, particularly in resource-constrained settings in remote areas.

Impact

• Development of a scalable AI-driven software solution for TB detection., Creation of a comprehensive dataset for algorithm development and validation., Integration of the software solution into clinical workflows and healthcare systems., Empowerment of healthcare providers with a user-friendly tool for TB detection.