Aruna Rao S. L, Chatragadda Bharani, Jaina Sri Laxmi, Soppadandi Spoorthi, Kummari Tejaswini 05 08 Handwritten Alphanumeric Character Recognition isone of the significant areas of exploration and development witha streaming number of possibilities that could be attained Theapplications of alphanumeric character recognition include postalcorrespondence sorting bank cheque processing form data entryetc In most of the applications major challenge lies in copyingthe contents from original file where the content may be in a noneditable format The heart of the project lies within the abilityto develop an efficient algorithm that can recognize handwrittenalphanumeric characters which are submitted by users whichmay vary in their font styles and font sizes In order to implementthis we used EMNIST Balanced Character Dataset to train theMachine Learning model using Deep Learning Flask is used forAPI and user interface The goal is to deploy whole system onJetson Nano Developer Kit with an optimal solution and the bestaccuracy which is 87 Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026