About Naitik Anand
Young Innovator | Student Entrepreneur | Future Automobile Engineer
Noida, Uttar Pradesh, India
Class 11 – Bal Bharati Public School, Noida
“Driven by curiosity, powered by science, and focused on solving real-world problems.”
I am a passionate science student who enjoys solving problems and building innovative solutions. My interest in science comes from understanding how things work and applying that knowledge to create impactful ideas.Participating in competitions motivates me to push boundaries and continuously improve. I believe that curiosity and challenges are the foundation of innovation.
Project and Innovtion
ACIS – Auto Controllable Irrigation System
Developed by Naitik Anand, ACIS is a smart irrigation solution that uses soil moisture sensors, water flow monitoring, and AI-based assistance to optimize farming and reduce resource wastage. The project was showcased at multiple competition levels, winning 1st Prize at 3DPCOE Hackathon, IIT Guwahati, and securing ₹2,00,000 government funding. It is recognized as an innovative step toward sustainable agriculture aligned with Viksit Bharat.
ACIS Assistance – AI Farming Assistant
Created by Naitik Anand, ACIS Assistance is an AI-powered smart farming assistant that provides multilingual, voice-enabled support to farmers. It delivers real-time crop guidance, works offline with a built-in crop database, and enhances decision-making using intelligent responses. The platform strengthens the ACIS ecosystem by making advanced technology easily accessible to farmers.
Farmer’s Friend – Mobile Application
Developed by Naitik Anand, this mobile application supports farmers through crop disease identification, product recommendations, and real-time data tracking. It integrates seamlessly with the ACIS system, providing a user-friendly digital platform for monitoring and decision-making. The app enhances accessibility and brings smart farming tools directly to users.
EdgeGreen – Sustainable Data System
Conceptualized by Naitik Anand, EdgeGreen is a next-generation system focused on edge computing and sustainable data processing. It reduces energy consumption by processing data locally and supports multiple sectors including agriculture, healthcare, and smart cities. This research highlights a scalable and eco-friendly approach to future technology infrastructure.