Run full Stable Diffusion 3 model (i.e. without quantization) with extended context length and prompt weighing on T4 GPU or on google colab free version with similar inference speed

NetSentinelX is an intelligent Network Intrusion Detection System (NIDS) that leverages both supervised and unsupervised machine learning models (XGBoost, SVM, Random Forest, etc.) to accurately classify normal vs anomalous traffic using the NSL-KDD dataset.

Two-stage dental X-ray analysis pipeline: DeepLabV3+ segments teeth & nerve regions; MobileNet classifies contact vs no-contact using Ground and Predicted masks. Includes preprocessing, training, evaluation, and visualization. Useful for dental AI and medical imaging research.

A wound healing analysis project using polygonal annotations of rat wound images. Calculates wound area in mm² over time, computes healing percentages, and visualizes average healing curves across Control, Drug, and Standard groups using Python and matplotlib in Google Colab.