Computer Vision

Taxila LaneSense
Taxila LaneSense

Taxila LaneSense is a lightweight computer vision tool that detects lane lines, measures vehicle offset from the lane center, and visualizes lane width trends through an interactive Streamlit dashboard. Built using OpenCV, it helps analyze driving behavior at accident-prone locations such as the Taxila Underpass by providing quick and meaningful visual insights.

Dec 11, 2025

AI-Based Applied Innovation for Fracture Detection in X-rays Using Custom CNN and Transfer Learning Models
AI-Based Applied Innovation for Fracture Detection in X-rays Using Custom CNN and Transfer Learning Models

A deep learning solution for automated fracture detection using CNNs and transfer learning, evaluated on the FracAtlas dataset.

Sep 7, 2025