Technologies are improving in the recent era and these technologies have a profound influence on the betterment of society in one way or the other. Education is one scenario where technologies can be used to help in getting a lot of benefits. The use of technology makes students to learn the content and understand the content easily. Nowadays, Augmented Reality (AR) is one technology which can be integrated into the educational system. AR gives 25% of digital reality and 75% of existing reality into the learning system. AR education systems can make teachers to show virtual examples by implementing Virtual Reality (VR) and Mixed Reality (MR) into an educational system. In this paper, an analytical review has been done on using AR in visually impaired students and suggests cost effective mechanisms to effectively use AR. A TensorFlow Federated (TFF) open-source system was utilized in this work to deal with AI where a common worldwide model is prepared across many taking an interest clients that keep their preparation information locally. The study also highlights the practical challenges and security threats present in existing systems. A thorough analysis has been conducted to identify the factors that contribute to the underperformance or failure of these systems. A new model has been proposed to address the shortcomings of existing models, offering improved results.