Project I: Design & Development of Artificial Intelligence framework using Data Analytics for Detection of Chronic Illness from Retinal Images
Sponsored by MeitY, Govt. of India
Project I: Design & Development of Artificial Intelligence framework using Data Analytics for Detection of Chronic Illness from Retinal Images
Sponsored by MeitY, Govt. of India
Developed a non-invasive method for diagnosing chronic illnesses using fundus images with the latest state-of-the-art data analytics tools and artificial intelligence techniques funded by the Ministry of Electronics and Information Technology (MeitY). The project has three major modules:
Developed a non-invasive method for diagnosing chronic illnesses using fundus images with the latest state-of-the-art data analytics tools and artificial intelligence techniques funded by the Ministry of Electronics and Information Technology (MeitY). The project has three major modules:
- Development of Artificial Intelligence framework using data analysis techniques for detection of diseases through retinal images.
- State-of-art development of data acquisition framework for expert grading of retinal images.
- Development of web/mobile interface for predictive analytics and automated disease diagnosis.
Project II: Development of Stream Data Analytics Framework for Precision Farming using IoT/ UAV (Sponsored by MeitY, Govt. of India)
Project II: Development of Stream Data Analytics Framework for Precision Farming using IoT/ UAV (Sponsored by MeitY, Govt. of India)
The project has following major components:
The project has following major components:
- State-of-art Research & Innovation study in the field of object detection and classification from stream data for the various fruits and crops detection.
- Real-time field data capturing from the required sensors using low-flying aerial drones, and in-field soil/ climatic parameters.
- Development of a correlated data analytics framework based upon the computation of environmental parameters for –
- Detection of fruit/crops along with production estimate.
- Development of Plant growth Model-based water management system.
- Development of web application/mobile application for real-time production estimate statistics, advisory to farmers for irrigation, and early detection of diseases.
Project III: Artificial Intelligence based low-cost solution for diagnosis of respiratory health system through audiometric analysis (Sponsored by CDAC, Mohali)
Project III: Artificial Intelligence based low-cost solution for diagnosis of respiratory health system through audiometric analysis (Sponsored by CDAC, Mohali)
I have worked as a CO-PI in this project that aims to develop an AI speech processing framework that leverages acoustic biomarker feature extractors to identify cough signatures for Covid-19, Tuberculosis, and other pulmonary diseases using cough recordings that can provide real-time results.
I have worked as a CO-PI in this project that aims to develop an AI speech processing framework that leverages acoustic biomarker feature extractors to identify cough signatures for Covid-19, Tuberculosis, and other pulmonary diseases using cough recordings that can provide real-time results.
The solution will be delivered in the form of a low-cost AI-driven speech processing handheld device to enable mass "do it yourself" without intervention from overburdened health professionals.