Siva Ranjan Das Davalapalli1 , Segari Samuel Rickson2 , Shaik Kharishma3 , Telugu Abilash4 03 03 Indias rich and diverse culinary heritage spans hundreds of regional cuisines dietary traditions and cooking styles Despite significant advances in natural language processing and generative artificial intelligence no comprehensive system exists that can generate contextually accurate nutritionally aware and regionally authentic Indian recipe recommendations tailored to individual user preferences This paper presents ChefAI India a generative AIpowered recipe generation system that leverages a finetuned GPT2 medium transformer model augmented with an Indian cuisine knowledge base to produce personalised recipes across six major regional categories North Indian South Indian Bengali Gujarati Rajasthani and other regional cuisines The model is trained on a curated dataset of 28400 annotated recipe instances enriched with dietary tags ingredient substitution mappings and nutritional metadata ChefAI India achieves a classification accuracy of 943 precision of 931 recall of 928 and F1score of 929 outperforming stateoftheart baselines including Seq2Seq GPT2 vanilla finetuned mBART and BERT2BERT User evaluation trials with 120 participants across three Indian cities recorded a satisfaction rating of 4650 ChefAI India represents a scalable culturally grounded solution for personalised Indian cuisine recommendation and recipe generation Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026