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followers: 23.0 following: 7.0 repos: 40.0 gists: 0.0

Name: Mukaffi Bin Moin

Type: User

Company: ML Engineer @ ANTT Robotics Ltd

Bio: ML Enthusiast!!

Twitter: MoinMukaffi

Location: Dhaka, Bangladesh

Mukaffi Bin Moin (ML Enthusiast!!)

Hi there 👋 I am Mukaffi Bin Moin, having recently completed my Bachelor of Science degree in Computer Science and Engineering at Ahsanullah University of Science and Technology.

Skills:
○ Programming: Python, C++, Java (OOP).
○ Database: MySQL, Oracle SQL ,PL/SQL, Firebase.
○ Libraries: Pandas, Numpy, Matplotlib, Tensorflow, Keras, PyTorch, Scikit-Learn.
○ ML and DL Skills: Machine learning algorithms, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks (GANs), Object, Detection Models, Text Classification and Categorization, Sequence-to-Sequence Models, Language Modeling.
○ Miscellaneous: HTML, CSS, Django, PHP, Bootstrap,Git.

🌱 I’m currently learning Django & MLOps.

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My Skill Set

Mukaffi Bin Moin's Projects

$advanced-fracture-analysis-using-explainable-ai-classification-bone-fracture icon$ advanced-fracture-analysis-using-explainable-ai-classification-bone-fracture

ai-based-predictive-maintenance-algorithm-for-dishwashing-machines

analysing-sentiment-on-noisy-bangla-texts-using-banglabert

analysis-of-ai-generated-fruits-and-real-fruits

automated-brain-tumor-detection-from-mri-images

banglacalamitymmd-a-comprehensive-benchmark-dataset-for-multimodal-disaster-identification

This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, DisasterImageNet, and DisasterMultFusionNet, the approach addresses a key gap in Bangla disaster research.

bengali-document-layout-analysis_using_detectron2

Bengali Document Layout Analysis Competition

bengali-news-article-summarization

Bengali News Article Summarization

bengali-political-sentiment-analysis

city-driver

classification-of-potato-disease-a-hybrid-deep-learning-framework

This research presents a hybrid deep learning framework combining MobileNet V2 with LSTM, GRU, and Bidirectional LSTM for classifying various potato diseases. The study explores the performance of different architectures to determine the optimal configuration for accurate disease categorization.

mukaffi28 Goto Github PK

Mukaffi Bin Moin (ML Enthusiast!!)

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My Skill Set

Mukaffi Bin Moin's Projects

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