Sanskar Khandelwal

Worked in a hackathon-style, Ministry of Education–supported program focused on building AI/ML-powered AgriTech solutions with real-world impact. Designed and implemented data-driven AI models for agricultural use cases such as yield prediction, crop health monitoring, and precision farming. Participated in expert-led sessions with leading academicians and industry practitioners in AI, robotics, and IoT for agriculture. Collaborated with cross-functional teams to ideate, prototype, and refine solutions from concept to functional MVP. Gained hands-on experience in end-to-end AI workflows — from dataset preparation and model development to deployment and testing in a real-world scenario.

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