Case Study
AI and Neural Network Handwriting Recognition
AI AND NEURAL NETWORK HANDWRITING RECOGNITION Our customer is one of the largest software developers for education in Western Europe. The total user-base is millions of end-users and dozens of educational institutions all across Europe. They are currently in the top ve of companies who develop reading and writing assistive software for students. The global objective of the project was to test how the implementation of AI/neural networks based handwriting character recognition can improve students’ e-Learning solution engagement rate. The nal goal was to make the di erences between paper and digital input of handwriting imperceptible to students. Project Technology Stack No third party APIs used, implementation in Python. Custom So ware Development and IT Outsourcing Case StudiesTimefr