Computer vision backend (drones) project description: as part of the ai internship program at globallogic, i contributed to building ai - powered control systems for autonomous drones. my work focused on developing hand gesture recognition and face recognition modules using python, opencv, mediapipe, and tensorflow lite, while also designing and integrating backend services with websocket, grpc, and mqtt in a microservice - based architecture. responsibilities: implemented and maintained gesture recognition and face recognition pipelines, writing clean and testable code. integrated machine learning models and optimized computer vision algorithms for real - time drone control. designed and deployed backend microservices using python with websockets, grpc, and mqtt for reliable communication. applied multithreading and multiprocessing in python to handle concurrent video processing, ai inference, and communication tasks efficiently. debugged, optimized, and documented the codebase, collaborating closely with the ai and embedded teams. technologies: python, opencv, mediapipe, asyncio, threading, multiprocessing, websockets, grpc, mqtt, docker, tensorflow lite