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VigilantEye

Devpost

This project did not submit a demo video on Devpost.

Inspiration

We were inspired to create VigilantEye after a scary incident at our school involving a gun. We wanted to make schools, workplaces, and more around the world a safer place.

What it does

VigilantEye is an app that uses YOLOv8 technology to detect weapons in real-time, helping to prevent dangers at schools, workplaces, and more around the world.

How we built it

We built the app using Python and the YOLOv8 algorithm. We focused on making it user-friendly and efficient. For the UI of the App we used Flutter to make it sleek and easy to use.

Challenges we ran into

Our main challenge was enhancing the accuracy of weapon detection. Training the YOLOv3 model required a vast dataset of weapon images, which was hard to compile. We had to ensure the data was diverse to recognize various types of weapons under different conditions. Another challenge was balancing the model's complexity with the need for real-time processing speed. We iterated multiple times to find the right balance, ensuring our app could detect weapons accurately and swiftly without significant delays.

Accomplishments we're proud of

We're proud of creating an app that can potentially save lives. It's accurate and works quickly, which is crucial for safety.

What we learned

We learned a lot about AI and image recognition. Working as a team and solving real-world problems was also a big lesson.

What's next

We plan to enhance its accuracy and maybe expand its use internationally and hopefully globally one day to end gun violence completely.

Analysis

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Technology

Found in codeClaimed only
  • CIn code
  • C++In code
  • DartIn code
  • HTMLIn code
  • KotlinIn code
  • SwiftIn code
  • PythonClaimed

6 of 7 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

50 KB

Source files

37

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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