<aside> 🐙

Open on GitHub

https://github.com/nithinshettygit/autonomous-wheelchair-project.git

</aside>

🚀 Problem Statement

****Navigating through hospital corridors is often a challenge for patients with limited mobility, especially when staff are unavailable. Manual wheelchairs can be hard to control in crowded environments. Our goal was to develop a smart wheelchair that can operate autonomously using deep learning and computer vision, reducing dependency and improving safety.

🎯 Objective

To build a wheelchair prototype that:

• Operates in both manual and autonomous modes
• Predicts direction using real-time camera input
• Responds accurately to visual paths in hospital-like environments

🧰 Tools & Technologies Used

🧩 System Architecture

1. Image Input →

Real-time images captured via a camera mounted on the wheelchair

2. Deep Learning Model (CNN) →

Classifies each frame into:

• Left