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nisargptl / vehicle-recognition

This enables users to gather information about any vehicle and they can see the details in a matter of seconds. Snap a quick photo in the app and it will provide the details about the vehicle make, model, year, user ratings and starting retail price. In addition, it will provide this same information for the 2 closest competitors so a user can do some quick comparison shopping.
https://viris.herokuapp.com/
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201801013__Challenges_Solutions #68

Closed khyatibhuva closed 3 years ago

khyatibhuva commented 3 years ago

Write your challenges you faced in this entire project and how to solved them.

nisargptl commented 3 years ago

Challenge 1: How to integrate Neural Network Model? Solution: I chose Django as our backend framework as Model and Django both were written in python which made integration easy.

Challenge 2: Which Database to use? Solution: As our dataset was not big and mostly text based, SQLite database was the best.

Challenge 3: Filter option for filter page Solution: It took a while to figure out the queries and implement those queries in django.

Challenge 4: Another challenge was to delete the images being uploaded by the users so as to not increase the space on remote server. Solution: I used the OS library of python to delete those images after its output is predicted.

Challenge 5: Biggest challenge was to host the website. Solution: It took 3 days to host a website on remote server.

khyatibhuva commented 3 years ago

Well done.