mzayed47 / handwritten_bangla_character_recognition

This research work aimed to develop a handwritten character recognition model using a deep convolutional neural network and analyze the three complete datasets: BanglaLekha Isolated, CMATERdb, and Ekush and get significant accuracies for all the character classes, considering the maximum number of samples they have. The aim was to improve the basic structure of OCR based identification of documents and exam papers for the educational institutes with Bangla medium.

• 👋 Hi, I’m @MZayed47

• 👀 I’m interested in Software Development, Database Management, Academic Research in Data Science and Machine Learning.

• 🌱 In my current employment, I'm solely engaged in Software Development in Python & Golang, implementing Digital Financial Services (DFS), interacting with DBMS, cluster management in Kubernetes.

• 💞️ I am always exploring different fields of research in Data Science. My ongoing research works include Social Network Analysis, Recommendation System, Security in IoT, Natural Language Processing, and Computer Vision.

• 📫 How to reach me: Email to: [email protected]

• You can know further details about me at: https://sites.google.com/view/mmashrukhzayed/

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