Have you ever found a bug while walking outside and wondered what exactly it is? This app can help!

What it does

Bug Hunt allows you to upload an image of bugs you find and identifies what species it most likely belongs to!

What we each did

Yang served as project Management, created classification algorithms, and handled back-end Python development. Cyrus created the front end for website and handled domains to get the app online. Jimmy researched image search API and used Javascript to retrieve search results

How we built it

Using Bing's Search API, we performed a reverse image search of the photo and retrieved the links of the first hundred related images. We then created a web scraper using Python to find references to certain species. We then aggregate all the data and display how likely it is for the bug to be certain species.

Challenges we ran into

We had issues choosing an image search API that suited our purposes. After sampling many search APIs, we settled for Bing because of its easy-to-understand documentation and wide array of features.

Accomplishments that we're proud of

We managed to use Bing's API to send images to Bing and read the data from the search results.

What we learned

We learned how to use Bootstrap to create web pages and how to use Bing's image search API. We also learned about how to use Python in back-end Web Development.

What's next for Bug Hunt

We will try to improve the App and improve cohesion.

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