Huda, A. S. NazmulTaz, Nahid HossainShams, Sharif MohammadMahbub, ImonMesbah, K. M. FatinZim, Ahmed ZohaKabir, Rayhan2026-04-222026-04-2220252025-09ID 21221007ID 21221008ID 21221016ID 21221043http://hdl.handle.net/10361/28040Cataloged from PDF version of final year design project.Includes bibliographical references (pages 66-67).This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2025.This project presents the design and implementation of an AI-powered object sorting mechanical arm that integrates decision-making capabilities of AI to enhance flexibility and efficiency in industrial automation. The proposed system eliminates the need for manual reprogramming by employing a large language model (LLM), Gemini 2.0, for object recognition and decision-making. Equipped with a 4-DOF robotic arm, high-resolution cameras, and a gripper mechanism, the system is capable of identifying, classifying, and placing objects with high accuracy. The approach demonstrates improvements in adaptability, reduced setup time, and sustainable applicability across various sectors, aligning with the needs of modern industry and society.72 pagesenBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Robotic armsObject sortingIndustrial automationLarge language modelsSustainable roboticsModular designRobots, Industrial.Robots--Design and construction.Manipulators (Mechanism).Project Report