SightlineAI

Inspiration

More than 2.2 billion people worldwide live with some form of vision impairment, yet most assistive technologies remain expensive, inaccessible, or dependent on constant internet connectivity. I wanted to build an affordable, open-source, AI-powered wearable system that could help visually impaired individuals navigate and interact with the world more independently.

SightlineAI was created to combine edge AI, computer vision, and real-time voice assistance into a low-cost wearable platform that works even in low-connectivity environments.

What it does

SightlineAI is an offline-first AI assistive system for blind and visually impaired users that provides:

Real-time object detection
Environmental awareness
OCR and text-to-speech
Voice-guided assistance
Navigation support
Persistent contextual memory
Edge-cloud AI orchestration powered by Qwen

The system is designed to run on affordable hardware and assist users in understanding their surroundings in real time.

How we built it

SightlineAI combines embedded systems, computer vision, and AI reasoning.

Core technologies include:

ESP32 camera modules
Edge AI inference
Computer vision pipelines
OCR and speech systems
Qwen-powered contextual reasoning
Voice interaction modules
Real-time sensor processing
Offline-first architecture

The platform is designed to support future expansion into adaptive memory systems, personalized navigation assistance, and autonomous contextual awareness.

Challenges we ran into

Building affordable assistive technology introduces several engineering challenges:

Running AI efficiently on constrained hardware
Maintaining low latency for real-time assistance
Designing offline-first workflows
Improving OCR reliability in different lighting conditions
Balancing power efficiency with continuous sensing
Creating an accessible and intuitive user experience

Another major challenge was designing the system to remain open-source and affordable while still delivering meaningful AI capabilities.

Accomplishments that we're proud of

Building a functional AI assistive technology platform
Creating a low-cost and open-source accessibility solution
Combining edge AI with assistive wearable systems
Developing real-time environmental awareness features
Creating a scalable foundation for future AI memory systems

What we learned

This project taught me how impactful edge AI can become when applied to accessibility and real-world human problems. I learned how to combine embedded systems, AI reasoning, and computer vision into a practical assistive platform while balancing performance, usability, and affordability.

What's next for SightlineAI

Future development goals include: