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1. MosQNet-SA MosQNet-SA Public

   MosQNet-SA is a novel deep learning model designed for accurate classification of mosquito species. This project focuses on distinguishing between three primary mosquito species: Anopheles, Aedes, …

   Jupyter Notebook

2. Multi-Layered-Password-Based-Steganography Multi-Layered-Password-Based-Steganography Public

   This project provides a comprehensive benchmark and analysis of various steganography methods, introducing a novel multi-layer approach that significantly improves security while maintaining image …

   Python 1

3. llm-chat-interface-with-no-gpu llm-chat-interface-with-no-gpu Public

   ⚡ Multi-model chat interface for LLaMA-family models and DeepSeek Coder ✨ Featuring CPU-optimized inference via llama.cpp with optional GPU acceleration

   Python

4. Alzheimers-Pseudo-RGB-Dataset-Comperative-Study Alzheimers-Pseudo-RGB-Dataset-Comperative-Study Public

   This project explores the application of deep learning models for classifying Alzheimer's disease stages using brain imaging data. We compare the performance of multiple state-of-the-art convolutio…

   Jupyter Notebook

5. clickshot clickshot Public

   A robust automated screenshot capture system that monitors user interactions and saves screenshots based on configurable triggers.

   Python

6. Furniture-brand-analysis Furniture-brand-analysis Public

   A comprehensive market research analysis of furniture preferences and brand perceptions in Bangladesh, with a special focus on the Isho brand. This study reveals crucial insights into consumer beha…

   Python