The problem Tagonizer solves

Everyone Loves Online Shopping🛒. But when it comes to selecting a product, we are dependent on true revies of a product.
E-Commerce websites like Amazon, Flipkart, AJio, Myntra etc, the reviews and tags can be misleading😕 .

The Main Problem can be concluded in the following points :

• Useless or Meaningless Auto-Generated Tags 🏷️
• Reviews not classified as positive👍 or negative 👎
• Tags not classified as positive👍 or negative 👎
• Repeated Tags 🏷️🤔
• Paid Review Tags that don't reflect sentiments of Customers 😢

Use of GitHub Student Pack in the Project

The GitHub Student pack has been an inseparable member in the journey of the development of Tagonizer, we have used the following services:

• Canva - To design Graphics
• Microsoft Azure - Cognitive Services, Deployment of Cognitive API
• Heroku - Deployment of Backend FastApi
• ImageBot - Optimization of Images Committed on GitHub
• DeepSource - Bug Checker and Security analyzer for Python Backend
• Icons8 - Icons and Graphics
• One Month - Learning Js
• Educative - Learning
• Frontend Masters - In-depth Js Learning
• Iconscout - High Definition Icons
• Sentry - Error Handling
• GitPod - Enviournment free development

Challenges we ran into

Challenges 🏋️ and Hurdles🚧 are the most important part of any journey, they make us strong by continuously testing our enthusiasm and patience. We too faced many Challenges, while developing Tagonizer Extension, some of them are:

• _Code Collaboration_🤝 : Since we are in the middle of a Pandemic, It was hard to collaborate in-person to discuss ideas and develop, hence we had to use tools like Google Meet, Discord, GitHub, UseTogether etc
• _Errors and Bugs_🐛 : The Destiny of Every Developer ever, Error and Bugs are our constant companion, and we love to eradicate them, thanks to Stackoverflow, the trustworthy friend
• _Huge Data to Test _📊 : We had the entire Amazon website, in front of us and the challenge was to efficiently fetch the customer reviews, without affecting the site/ extension performance
• _Efficent UI/UX _🖥️ : User have to be our 1st Priority, every bit of attention is paid on UI of the extension, which was a real challenge to achieve
• _Production Errors_⚠️: Production Testing is always different than local testing, we too, faced such issues and the last-minute Debugging was really intense