Accessible Navigation with AI
Research PaperContext Aware Guidance for Individuals with Visual Impairments. Accepted for presentation at the ISDIA 2026 conference in Dubai.
Hi, I'm Arav, an undergraduate at the University of Wollongong Dubai. I specialize in building accessible AI solutions particularly for people with low vision leveraging Computer Vision and NLP.
My experience spans presenting research at ISDIA, developing award winning hackathon software, and driving machine learning projects through to successful deployment.

AI Engineer
Building accessible AI technologies, with a focus on Computer Vision and NLP.
AI solutions, research, and applications I've built.
Context Aware Guidance for Individuals with Visual Impairments. Accepted for presentation at the ISDIA 2026 conference in Dubai.
An innovative navigation solution, aimed to help visually impared individuals to navigate the world with confidence. Built using Streamlit, Python, LangChain, Gemini, and Google APIs.
A webapp, which can classify road signs powered by YOLO v8. Trained on andrewmvd/road-sign-detection dataset, which contains 4 classes of road signs.
Presented research on AI-powered navigation for visually impaired individuals at ISDIA 2026 in Dubai. View Credential
Comprehensive study of machine learning concepts, applied in production. View Credential
Basics of statistical inference and how it is appolied in data analysis. View Credential