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There is a scarcity of trained healthcare professionals in India. Further, the current approach to healthcare delivery in India is symptom-driven and fails to address the underlying causes of disease which may be a result of the local socioeconomic, cultural, gender, environmental, or infrastructural situation. Chitra is a mobile platform that empowers community health workers to fill this gap between government healthcare delivery and patients' lived realities.

With veganism/vegetarianism gaining popularity, more individuals are adopting these diets for health and environmental reasons. This gives rise to several questions: 1. How healthy are the alternative diets of veganism/vegetarianism? 2. Do they pose any risk if practiced without sufficient knowledge and customization? 3. What are some issues vegans/vegetarians face? How can these be better addressed? For our Master’s project, we explored the area of veganism/vegetarianism within the scope of the above questions to conceptualize a solution that best addresses their needs.

In this project, we have used machine learning to develop a decision support tool for patients on the deceased-donor organ transplant waiting list. The idea is to evaluate the trade-offs in accepting organs that are labelled as 'Increased Risk Donor' (or IRD) organ versus choosing to remain on the waitlist to receive a non-IRD organ. We have built post-transplant survival models to predict the outcomes in both cases and compared them, based on the patient and donor characteristics, to help patients in making more informed decisions.