Inspiration
Current existing user review checking websites, fact-checking websites, and our own personal experiences. One of our members suggested that we work in this direction as he had encountered multiple comments that looked unauthentic to him as well as product listings that were rip-offs of an original product on a smaller e-commerce site.
What it does
It provides a short and concise summary for the user using data from multiple existing sources, as well as including results from our own custom web scraper.
How we built it
Python and Javascript. Frontend was built using the Javascript framework called React and the Python Flask framework was used for the backend. Various APIs were also used throughout.
Challenges we ran into
Building the web scraper, merge conflicts when trying to work in parallel, attempting to establish a connection between the Frontend and Backend, lots of debugging when it came to using API libraries.
Accomplishments that we're proud of
Learnt how to build my first web scraper, staying up all night.
What we learned
To establish periodic communication between team members during a development process, and to expand our knowledge base of libraries and web development to make future projects smoother.
What's next for E-Commerce Authenticity Detector
Due to time constraints, our detector currently focuses on Amazon and Ebay, two major e-commerce platforms. With a larger time allowance, we would be able to widen the breadth of the url search and make the detector usable for other sites as well.
Log in or sign up for Devpost to join the conversation.