Bycatch Sensing Technology

Bycatch Sensing Technology is a product that implements Google Lens's AI technology to recognize bycaught/untargeted species. This recognition process will prevent them from going into the net.

Comment

Inspiration

When the topics were given, our team had an advantage as Angela had already written a research paper in high school about bycatch and has taken/is taking several EES classes at Lehigh. With this, we decided to go for this topic. In addition, we set our goal to strive towards the Design Award and the Most Likely to Get Venture Capital Funding.

What it does

This is a webpage that spreads awareness about bycatch in addition to providing a possible solution to bycatch. The webpage is gamified to make it fun and educational for the younger generation.

How we built it

We first created a frame work on Figma. We built this webpage using HTML, CSS, and Javascript and collaborated using Github. Some images/visuals were edited in Photoshop and Canva and retrieved from Unsplash.

Challenges we ran into

We ran into mostly technical challenges and a few design challenges. The technical challenges came when we would get code from codepen. There were several instances were the class names would be the same and clash in the CSS. It was difficult to find high-res images of fishing nets, ocean life that fit our color theme. There were some times towards the beginning when our roles and responsibilities weren't very clear. In addition, we found that although Replit is great for collaboration, the view mode isn't great to view how a website would look on desktop.

Accomplishments that we're proud of

We are proud of how quickly and harmoniously the two of us on the team was able to code and design this webpage.

What we learned

We learned that Bycatch is an environmental problem that is difficult for everyday people to contribute/support. In addition, we learned that webpages are much easier to code when there is framework laid out before actually coding the webpage.

What's next for Bycatch Sensing Technology

We believe that speaking with engineers and coders that have more expertise in AI and Machine Learning and Aquatic Robotics would be our next step forward. This would help us determine if our current solution is feasible and if we would need to make some changes to make it more feasible.

Built With

Share this project:

Updates