CDSA Research Overview
The key charter of CDSA is to conduct collaborative data-driven research in various interdisciplinary areas.
At present, the centre, in collaboration with the Trivedi School of Biosciences (TSB), Koita Centre for Digital Health at Ashoka (KCDH-A), and Centre for Health Analytics Research and Trends (CHART), is carrying out the following project:
Computational Models and Applications for Food and Nutrition
To address the prevalence and increasing threat of diet-related diseases such as obesity, hypertension, diabetes, and cancer in India, it has become necessary to build frameworks to precisely track the dietary nutrition of food consumption among Indians. Recent investigations on computational models for food and nutrition by research groups in various universities across the USA, Latvia, Switzerland, Norway, Spain, the UK, Italy, Portugal, China, and Japan, along with standardization efforts for Personalized Digital Health by the WG 11/TC 215 of ISO, provide valuable insights and solutions.
We employ interdisciplinary perspectives to build a reliable, comprehensive, and granular culinary knowledge graph for Indian food, complete with associated ontologies from code-mixed (multi-lingual) recipe blogs using LLMs. We are also developing personalized AI-driven smart analysis and recommendation systems for food capture, nutrition computation, and personalized health navigation.
Key Project Activities
Knowledge Graph of Indian Food
- Ontology of Indian food, recipes, and ingredients across diverse cuisines, cultures, and languages
- Mapping food to nutrition through ingredients and recipes
- Interoperable Knowledge Graph
LLMs for Food Knowledge Extraction
- Extraction of recipe knowledge from multi-lingual food blogs using custom LLMs
- A Food Knowledge Graph of over 10,000 recipes and associated ingredients
- GenAI-based recommendation system
Ashoka Wellness Cohort
- Cohort of Ashoka University members to map food (nutrition) intake to wellness
- Cataloguing all food items from eateries on Ashoka campus
- Food logging app for individuals
- Tracking of health parameters
Collaborations
- Personalized Digital Health: WG11 of TC215, ISO
- Institute for Future Health (IFH), University of California, Irvine (UCI)
- EMPWR Platform, University of Southern California (USC)
- Food On, Simon Fraser University
- IIIT-Delhi
Project Website: Ashoka Food Computing Lab
Publications
- Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, Geeta Trilok-Kumar, and Ramesh Jain. Enhancing FKG.in: automating Indian food composition analysis, 9th International Workshop on Multimedia Assisted Dietary Management (MaDiMa 2024), Kolkata, India, Dec 1, 2024 (accepted).
- Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, and Ramesh Jain. Building FKG.in: A Knowledge Graph for Indian Food, 14th International Conference on Formal Ontology in Information Systems (FOIS 2024): Track JOWO Workshop - IFOW 2024, Enschede, Netherlands, Jul 15-19, 2024.
- Partha Pratim Das. FKG.in: Food Knowledge Graph in Indian Perspective, Lecture at UCI Institute of Future Health, University of California, Irvine, Jun 12, 2024.
- Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, and Ramesh Jain. Building a Knowledge Graph for Indian Food, BDBio: Symposium on Big Data Algorithms for Biology 2024, IISc, Bangalore, India, May 31-Jun 1, 2024.
Funding
This project has been funded by the Ashoka Mphasis Lab.