SkyGuardian 2.0

Inspiration

Light pollution is a growing problem, but it is often ignored. It affects human health, wildlife, and the beauty of the night sky. While exploring environmental and AI-based solutions, I realized that there are very few simple tools that help people understand light pollution clearly. SkyGuardian 2.0 was inspired by the idea of using AI to observe, analyze, and spread awareness about light pollution in an easy and meaningful way.

What it does

SkyGuardian 2.0 is an AI-powered project that focuses on understanding light pollution. It is designed to analyze light intensity data, identify patterns, and present insights in a simple format. The goal is to help users understand where and how excessive lighting affects the environment.

How we built it

SkyGuardian 2.0 is being built using AI concepts and a web-based system. The project includes:

Data processing for light-related information

AI-based analysis for detecting patterns

A simple interface to display results

The system is modular, so new features can be added in the future.

Challenges we ran into

The biggest challenge was limited time, as the project is still under development. Choosing the right approach for AI analysis and planning future features while keeping the system simple was also challenging.

Accomplishments that we're proud of

Identified an important environmental problem

Designed a clear and practical project idea

Created a strong foundation for an AI-driven solution

Selected in the Top 50 of the hackathon

What we learned

This project helped me understand how AI can be used for environmental awareness. I learned about project planning, AI-based thinking, and how to build scalable ideas even with time constraints.

What's next for SkyGuardian 2.0

Next, the focus will be on completing the AI features, improving data accuracy, and enhancing the user experience. Future versions may include real-time analysis, better visualizations, and possible integration with smart systems.

Built With

• css
• flask
• html
• javascript
• machineleaning
• python