India's agricultural sector is being transformed by AI, with the global AI in agriculture market projected to grow at 23.1% CAGR, reaching USD 4.7 billion by 2028. AI tools enable precision farming, crop disease detection, automated weed control, and livestock monitoring. Government initiatives like Kisan e-Mitra Chatbot and AI Centres of Excellence are accelerating adoption across Indian farms.

India's AI supercomputer AIRAWAT, installed at C-DAC Pune, ranks No. 75 globally in the Top 500 Supercomputing List. With a peak performance of 13,170 teraflops and 200 AI petaflops, it is India's largest and fastest AI supercomputing system. Funded by MeitY, AIRAWAT supports AI research across healthcare, agriculture, NLP, defence, and education, driving India's technological self-reliance.

TSLAM-4B is the first LLM specifically designed for the telecommunications industry, developed by NetoAI. With 4 billion parameters, 128K token context length, and trained on 427 million telecom-specific tokens, it enables network troubleshooting, infrastructure planning, customer support automation, and regulatory compliance, setting a new benchmark for domain-specific AI in telecom.

The Reserve Bank Innovation Hub (RBIH) has developed MuleHunter.AI, an AI/ML-powered tool to detect mule accounts used in financial fraud. Analysing 19 behavioural patterns across banking data, it outperforms traditional rule-based detection methods. Successfully piloted with two public sector banks, it aims for wider rollout to secure India's digital financial ecosystem.