no code implementations • 9 May 2024 • Yash Khandelwal, Mayur Arvind, Sriram Kumar, Ashish Gupta, Sachin Kumar Danisetty, Piyush Bagad, Anish Madan, Mayank Lunayach, Aditya Annavajjala, Abhishek Maiti, Sansiddh Jain, Aman Dalmia, Namrata Deka, Jerome White, Jigar Doshi, Angjoo Kanazawa, Rahul Panicker, Alpan Raval, Srinivas Rana, Makarand Tapaswi
Our goal is to equip health workers and public health systems with a solution for contactless newborn anthropometry in the community.
no code implementations • 28 Dec 2023 • Chandan Agrawal, Ashish Papanai, Jerome White
This paper describes and evaluates a multistage approach to AI deployment.
no code implementations • 3 Apr 2023 • Jerome White, Chandan Agrawal, Anmol Ojha, Apoorv Agnihotri, Makkunda Sharma, Jigar Doshi
This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India.
1 code implementation • 12 Aug 2022 • Jerome White, Pulkit Madaan, Nikhil Shenoy, Apoorv Agnihotri, Makkunda Sharma, Jigar Doshi
Building reliable AI decision support systems requires a robust set of data on which to train models; both with respect to quantity and diversity.
no code implementations • 30 Apr 2021 • Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu
Interpretability of epidemiological models is a key consideration, especially when these models are used in a public health setting.