ProductFinder
Find and Share Products on the go using Reverse Object Detection and Webscraping
Created on 21st October 2020
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ProductFinder
Find and Share Products on the go using Reverse Object Detection and Webscraping
The problem ProductFinder solves
It solves the problem of finding out an comparing products over various websites. It uses Reverse Image Object Detection alongside Color Detection and WebScrapping to identify the product and finds the products over various websites using web scraping.
Features:
Image Detection (For Detection of the Uploaded Image)
Color Detection (For Detection of the Color of the Uploaded Image)
Web Scraping (For Scraping and Fetching the Data From Websites)
Beautiful UI (To improve User Interface and Experience)
Trending (Shows Trending Terms Based on The Number of Users that Searched For the Term)
Recommendations by Color (Helps to find your favourite clothing in the color you prefer)
Recommendations by Product (Helps to Find Any Clothing of you Favourite Product)
Gender Integration (The Use of Customer Models help us to know gender of users)
Search By Term (Helps you search using just the Search Term rather than the Image itself)
Challenges I ran into
- Integrating color detection using OpenCV along with Object Detection using MobileNet (Transfer Learning)
- Finding and learning ways of scraping websites.
- Deployement was not successful as web scaping from a hosted website is blocked on almost every website without permission.
- Identifying and Implementing various ways to integrate personalization.
Technologies used