I'm a passionate programmer with a BSc in Computer Science and Engineering from the Department of CSE at Green University of Bangladesh. I love coding, solving complex problems, and contributing to open-source projects.
- Programming Languages: C++ || Java || Python || JavaScript
- Frameworks: React
- Tools: Machine Learning || LaTex
- Other: Linux
Implemented WhatsApp‑inspired Android applications using Java with a Firebase backend using the Android Studio platform. The key features, such as real‑time messaging, user authentication, and secure message encryption, were implemented effectively.
Designed and implemented responsive web applications like e‑commerce platforms using HTML, CSS, JavaScript, PHP, and MSSQL. As it is a multi‑vendor website in the user panel, users can make orders and add products to carts, and some other staff on the admin panel can manage products and users.
Rajasthan Institute of Engineering and Technology, Jaipur, India
A 3D CNN MODEL WITH MULTI-FEATURE FUSION FOR ENHANCING HUMAN EMOTION RECOGNITION FROM SPEECH (Jan. 2024)
- Developed a 3D Convolutional Neural Network (CNN) Classifier to effectively identify emotions from microphone-captured speech data.
- Our proposed model incorporating an adopted 3D CNN and multi-feature fusion demonstrates superior accuracy than state-of-the-art models for human emotion recognition from speech. The proposed model uses MFCC, CS, and MeS features that form a 3D tensor for nuanced emotional cue analysis.
- Our 3D CNN model introduces a novel approach by incorporating three distinct feature extraction techniques—namely, MFCC, chroma shift, and mel-spectrogram—which are then stacked along the Z-axis, forming the third dimension of our model.
Problem Solving
- Email: [email protected]
- Phone: 01816401515