Image-based malware classification using CNN, ResNet18, and EfficientNet-B0 trained on the Malimg Dataset. Includes model comparison, evaluation metrics, and visualization of results.
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Updated
Nov 3, 2025 - Jupyter Notebook
Image-based malware classification using CNN, ResNet18, and EfficientNet-B0 trained on the Malimg Dataset. Includes model comparison, evaluation metrics, and visualization of results.
AI-powered fire detection and building safety monitoring system with real-time alerts and surveillance.
AI vision glasses for the Visually Impaired/ Blind community AI usecase running on LLM that does object/image detection + text detection + audio, enabling blind users to read text, identify faces, get semantic descriptions Integration of object detection + OCR + Test to Speech
The SMS Spam Detection project classifies messages as "Spam" or "Ham" using NLP and a Multinomial Naive Bayes model. Preprocessing included text cleaning, stopword removal, and lemmatization. The model achieved high accuracy, and add a accuracy and Loss, confusion matrix heatmap visualization for enhanced insights.
Hacxerve is an AI/ML-powered digital platform designed to bridge the gap between rural talent and the global digital gig economy. The platform enables users from underserved regions to access skill development, personalized learning, and remote job opportunities through an intelligent, scalable system.
🖼️ Detect and classify malware using deep learning on grayscale images, leveraging the Malimg Dataset for robust multi-class malware identification.
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