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Abstract: The use of drone technology is growing in popularity and has many different industrial uses. Drones are used in agriculture for pesticide and fertilizer application, crop monitoring, and mapping. Drones can be used in the building sector to check job sites and track development. In the movie industry, drones are also utilized for aerial photography and in search and rescue efforts to reach inaccessible places. In general, drone technology has the potential to revolutionize a variety of industries and offer fresh approaches to problems that were previously challenging to solve. Our idea is to develop AI ML based autonomous drone system that can be deployed in many areas for multiple applications such as surveillance, warehouse management etc. The layout includes a PI-CAM V2 camera on a quadcopter using GPS and system powered by Robot Operating System, Open CV and other technologies that gives ability to drone to fly without need of pilot autonomously. Key Word: Multipurpose, Robot Operating System, Simulation, Surveillance, Tracking, Quadcopter, OpenCV, Machine Learning, Object Detection. References [1]. OpenCV: Cascade Classifier. [2]. Chandan G, Ayush Jain, Harsh Jain, Mohana “Real Time Object De- tection and Tracking Using Deep Learning and OpenCV” Proceedings of the International Conference on Inventive Research in Computing Applications (ICIRCA 2018). [3]. Aakash Sehrawat, Tanupriya Choudhury, Gaurav Raj “Surveillance Drone for Disaster Management and Military Security” International Conference on Computing, Communication and Automation (IC- CCA2017). [4]. Reem Alshanbari, Sherjeel Khan, Nazek El-Atab “AI Powered Un- manned Aerial Vehicle for Payload Transport Application”. [5]. Leo Pauly, Deepa Sankar, “A Novel Online Product Recommendation System Based on Face Recognition and Emotion Detection”, (ICCICCT, 2015).