Exploring the intersection of artificial intelligence, machine learning, and real-world applications to solve complex problems and advance scientific knowledge.
Developing intelligent systems that can learn, reason, and make decisions. Focus on machine learning algorithms, neural networks, and cognitive computing.
Enabling computers to understand, interpret, and generate human language. Working on text analysis, sentiment analysis, and language models.
Teaching machines to interpret and understand visual information from the world. Applications in image recognition, object detection, and medical imaging.
Extracting insights from large datasets using statistical methods and machine learning. Focus on predictive analytics and data visualization.
Applying AI technologies to healthcare challenges. Working on diagnostic systems, drug discovery, and personalized medicine solutions.
Daffodil International University, Data Mining and Machine Learning project, 2025
Acne-Detect AI/ML is a machine learning project designed to automate the classification of facial skin images as either "acne" or "healthy." Leveraging advanced deep learning architectures such as ResNet50 and VGG19, the project enables rapid and reliable dermatological assessment through an accessible Streamlit web interface. The repository provides tools for model training, conversion (including TensorFlow Lite and Keras formats), and real-time prediction, with a focus on ease of deployment and further development. Aimed at educational and research use, Acne-Detect AI/ML demonstrates the application of modern AI frameworks to healthcare image analysis, promoting fast screening and potential integration into broader diagnostic tools.
DIU, 2025
We propose a novel framework for developing explainable AI systems in healthcare that maintains high accuracy while providing interpretable results for medical professionals...
Github Repositories
Inventory Management System is a full-stack web application designed to streamline the management of products, suppliers, and transactions for small to medium-sized businesses. Built with a Python Flask backend and a modern JavaScript frontend, the system features real-time dashboards, comprehensive CRUD operations, interactive analytics, and responsive design for an optimal user experience on both desktop and mobile devices. It provides robust tools for organizing inventory, monitoring stock levels with alerting, maintaining supplier databases, and generating actionable reports. With an emphasis on simplicity, performance, and extensibility, this project offers an efficient platform for businesses to centralize their inventory operations while remaining ready for future enhancements such as user authentication, multi-location tracking, and advanced analytics. The project is open source under the MIT License, inviting community contributions for continued growth and improvement.
I'm always looking for opportunities to collaborate on exciting research projects. Whether you're a fellow researcher, industry professional, or student, let's explore how we can work together to advance the field of AI and machine learning.
Passionate about creating innovative solutions through code and advancing the frontiers of technology through research.
I'm a dedicated software developer with a passion for creating elegant, efficient, and user-centric applications. My journey in programming spans multiple languages and frameworks, allowing me to tackle diverse challenges from web development to mobile applications and beyond.
As a researcher, I'm deeply invested in exploring the intersection of technology and real-world problems. My research interests include artificial intelligence, machine learning, and data science, with a focus on developing solutions that can make a meaningful impact on society.
I believe in the power of technology to transform lives and solve complex problems. Whether it's through developing cutting-edge applications or conducting groundbreaking research, I'm committed to pushing the boundaries of what's possible.
A showcase of my development work spanning web applications, mobile apps, AI/ML projects, and open-source contributions.
A comprehensive machine learning platform that assists healthcare professionals in medical diagnosis using deep learning models. Features include image analysis, symptom prediction, and treatment recommendations with 95% accuracy.
A comprehensive analytics dashboard for e-commerce and Inventory management system businesses with real-time sales tracking, customer insights, and predictive analytics.
Cross-platform mobile application for personal health monitoring with AI-powered recommendations and wearable device integration.
Open-source NLP toolkit with pre-trained models for sentiment analysis, named entity recognition, and text classification.
lots of simple projects that I have done in my free time. These projects include various web applications, utilities, and tools that showcase my skills in different programming languages and frameworks.
Collection of utility functions and components for React developers. Includes hooks, components, and helper functions.
Collection of utility functions and components for Python developers. Includes scrapping components, and helper functions.
Let's collaborate on exciting projects or discuss research opportunities. I'm always open to new challenges and innovative ideas.
Dhaka, Bangladesh
Mon - Sun: 9:00 AM - 6:00 PM (GMT+6)