Delhi, India
• This project focuses on the development and evaluation of a system for generating culinary recipes with an optimized (reduced) carbon footprint (CF). The core idea is to leverage a pre-trained language model (GPT-2) for recipe generation and then apply a novel post-processing algorithm to adjust ingredient quantities, thereby minimizing the recipe’s overall environmental impact without drastically altering its nature. • Developed a systematic approach of conducting experiment for 2 days to integrate AI in design methodology under 3 Modes with BID and AI assistance.
• Designed a farmer-centric web app for NGO FORCE, addressing rural needs through farm management, crop planning, AI-based pest detection, weather insights, and government scheme access. • Applied human-centered and multilingual design principles to create an intuitive, accessible interface for rural and semi-literate users.