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🔬 I am currently working on NetFlow-based network traffic analysis using machine learning methods, focusing on traffic classification and anomaly detection.
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🔭 Previously, I developed applied AI systems, including a real-time crack detection system for ceramic products using YOLOv4, deep learning-based handwritten character recognition models, and multimodal human-robot interaction systems.
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🧠 My background includes research and projects in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Data Engineering
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🌱 Currently exploring advanced techniques in network traffic analysis and scalable machine learning systems
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GitHub-Stars-Predictor-Using-CI-CD-Pipelines
GitHub-Stars-Predictor-Using-CI-CD-Pipelines PublicA scalable machine learning platform that predicts GitHub repository star counts using distributed infrastructure, containerization, and CI/CD pipelines. The system leverages multiple ML models to …
Jupyter Notebook
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AI-Powered-Developer-Workflow-Hub
AI-Powered-Developer-Workflow-Hub PublicA one-stop AI-enhanced developer workflow platform that combines task/project management, GitHub/GitLab integration, AI-assisted code reviews, changelog automation, and collaboration tools.
Python 1
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BHCR-using-DConvAENNet
BHCR-using-DConvAENNet PublicIn this paper, we introduce an Autoencoder with a Deep CNN, which we call DConvAENNet for recognizing Bangla Handwritten Character (BHC). A total of 22 experiments were performed on the three-chara…
Jupyter Notebook 3
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Code_Breakers_NSU
Code_Breakers_NSU PublicAt the NSU Inter-University Hackathon 2020, we took on the challenge of developing a web application that addressed the needs of both vendors and buyers. Our team proudly achieved the distinction o…
Python 2
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Zilla-64-Dataset
Zilla-64-Dataset PublicForked from mahadi-nahid/Zilla-64-Dataset
A Bangla Handwritten Word Dataset
If the problem persists, check the GitHub status page or contact support.

