π Dhaka, Bangladesh Β Β |Β Β π§ hamad.ismail@example.com
I'm a passionate developer who loves building scalable and user-friendly web applications. I enjoy learning new technologies and applying them to solve real-world problems.
- π» Completed my B.Sc. in Computer Science and Engineering
- π Currently exploring Next.js and TypeScript
- π± Learning Backend Development using Node.js + MongoDB
- π οΈ Building a Library Management System full-stack application
- π Occasionally participating in Codeforces and LeetCode contests
A full-stack web app for managing books in a library with user roles, authentication, borrowing logic, and responsive UI.
π₯ Live Site
π§ Tech Stack: React, Express, MongoDB, Firebase, Tailwind CSS
A community-driven platform where users can create and join local hobby groups. Whether itβs painting, hiking, or gaming, users can find like-minded individuals to share their passions with. π₯ Live Site
π§ Tech Stack: React, Express, MongoDB, Firebase, Tailwind CSS
A setup and configuration repo for customizing the i3 window manager with required packages, Flatpak apps, and aesthetic tweaks.
π Documentation included
π§ Tech Stack: Bash, i3, i3-gaps, Linux, Flatpak, Polybar
π Rajasthan Institute of Engineering and Technology, Jaipur, India
ποΈ A 3D CNN Model with Multi-Feature Fusion for Enhancing Human Emotion Recognition from Speech
ποΈ Published: January 2024
π View Paper on Springer
π DOI: 10.1007/978-981-97-7426-5_22
Highlights:
- β Designed a 3D Convolutional Neural Network (CNN) to classify human emotions from raw speech inputs.
- β Proposed a multi-feature fusion technique using MFCC, Chroma Shift (CS), and Mel-Spectrogram (MeS) to form a 3D tensor for capturing emotional cues.
- β Achieved improved accuracy over existing models by combining spatial and spectral features in a 3D architecture.
- β Novel feature-stacking method along the Z-axis enhances temporal emotion representation in speech.
Problem Solving