Project Info

Ohm-Snap

Devpost

This project did not submit a demo video on Devpost.

Inspiration

Resistors very small and difficult to read the color bands to determine their resistance. It is especially difficult with those who have difficulty seeing as well as those who are color blind.

What it does

Upload a picture of a resistor, select the resistor, and get the resistance value.

How we built it

We built the application with Next.JS as our frontend framework, Auth0 for authentication, Flask for our backend API, Segment Anything by Meta for object detection and masking, and OpenCV for image manipulation.

Challenges we ran into

Color classification is a difficult problem, and one that might not have a straight-forward implementation to solve. The project was ambitious for a weekend, especially due to our limited knowledge of computer vision.

Accomplishments we're proud of

We are proud to have a website that can mask an object a user selects.

What's next

We hope to have a basic color classifier to eventually begin predictions for resistance values.

Analysis

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Technology

Found in codeClaimed only
  • CSSIn code
  • FlaskIn code
  • JavaScriptIn code
  • Next.jsIn code
  • PythonIn code
  • PyTorchIn code
  • ReactIn code
  • Tailwind CSSIn code
  • TypeScriptIn code

9 of 9 appear in the indexed code.

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

55 KB

Source files

34

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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