Home Insurance Photo Analyzer

Inspiration

A post on Life Pro Tips on Reddit

What it does

Allows the user to upload photos of their belongings, and our program uses an AI library to detect the individual objects in the photo and then do a reverse image search with each item on Google to determine its price. The goal with this tool is to help streamline home insurance claims.

How we built it

Python, Flask, Javascript, TensorFlow, Vue.js, Quasar, ImageAI, BeautifulSoup

Challenges we ran into

Connecting the different components together (frontend, backend, ImageAI API, etc.)

Accomplishments that we're proud of

Getting a working product!

What we learned

We learned how to use Quasar, a Vue framework, and ImageAI, a Python library for object detection in an image

What's next for Home Insurance Photo Analyzer

The biggest steps to come for us:

• Improve the web scraping for the prices
• Use a more robust image processing framework
• Expand the types of objects that can be recognized
• Improve the user experience

Built With

• imageai
• javascript
• python
• quasar
• vue