• Dr. Harish B G
• Mr.Chetan Kumar G S
• Deekshith H M
• Lavanya S L
• Manjunath C M, Mohan N J

Truly created digit attestation has beginning late been of very vitality among the analysts in light of the movement of different Machine Learning, Deep Learning and Computer Vision estimations. In this report, I consider the results of verifiably the most generally utilized Machine Learning Algorithms like SVM, KNN and RFC and with Deep Learning calculation like multilayer CNN utilizing Keras and Tensorflow. Utilizing these, I had the choice to get the accuracy of 99.70% utilizing CNN (Keras) when veered from 97.91% utilizing SVM, 98.00% utilizing KNN, 98.10% utilizing RFC

image processing, handwritten character Recognition, artificial intelligence, Tensorflow, Convolutional neural networks(CNN), MNIST Benchmark Database

"HANDWRITTEN CHARACTER RECOGNITION FROM IMAGE USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.h219-h224, July-2023, Available :http://www.jetir.org/papers/JETIR2307726.pdf

"HANDWRITTEN CHARACTER RECOGNITION FROM IMAGE USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. pph219-h224, July-2023, Available at : http://www.jetir.org/papers/JETIR2307726.pdf