Object Shopper

Inspiration

Our inspiration came from wanting to learn more about Python and its many possibilities and resources.

What it does

This program scans a live video feed for objects the user can purchase and adds it to a list. The program then reviews the list and recommends items similar to or products that pair well with the object using ChatGPT API. Finally, it displays product information from the top results from an Amazon lookup.

How we built it

We built it by splitting the project into three parts and using Git to work on the project on multiple computers. Individuals completed two parts, while one was done as a group of two. However, we communicated with each other to make sure each part worked well with the other.

Challenges we ran into

We ran into the challenge of not knowing how to use git and other required repositories. Some of us also had limited experience with Python, so we had to teach ourselves how to accomplish this project.

Accomplishments that we're proud of

We taught ourselves how to code in Python and implement multiple APIs that communicate with other Python files that were split up and worked on remotely using Git.

What we learned

We learned how to program in Python and how to use Git and Python APIs along with its many other resources to accomplish our goal.

What's next for Object Shopper

We plan to expand the number of sites that information can be pulled from and possibly display information about recommended products. We also plan to add a UI to make it more user-friendly for those who do not know Python.

Built With

• beautiful-soup
• openai
• opencv
• python
• requests
• tensorflow