HaXplore 2.0 - Submission Report Format

This is the official code repository for TEAM NAME . This type of application was developed during HaXplore 2.0, the online hackathon conducted by Codefest, the annual departmental fest of Computer Science department, IIT BHU Varanasi.

🟡 Fire Phoenix

• 🔸 Rishika Garg
• 🔸 Aanchal Rattan
• 🔸 Sonia Tyagi
• 🔸 Ayushi Gupta

🟡 Tech'n Food

🔸 youtube link: https://youtu.be/naL_sU9IESM

🟡 Overview

We built an overall food traceability system that allows customer to compare what the actual information is and what they are served with. It will allow the user to scan the QR on the food product and the user will be directed to a web page of that product where they will see the comparision between the real information and the information given to them. The real information will be kept in the database maintained by the trustworthy third party, and user will be able to compare and decide if the product is safe for consumption or not. In simple words the tagline "know what you eat" the customers will be able to see the authenticity of what they get.

🟡 Technology used

IDE USED :VSCODE

• 🔸 Python( Opencv, pyzbar webbrowser libraries)
• 🔸 HTML
• 🔸 CSS

🟡 Screenshots/Demo Video

Images

• 🔸 QR scanner

• 🔸 unique QR code

• 🔸 Scanning the QR code

• 🔸 Product information page

🟡 YOUTUBE LINK: https://youtu.be/naL_sU9IESM

🟡 Usage

import various libraries to run this application

• 🔸 python
• 🔸 python get-pip.py
• 🔸 pip install opencv
• 🔸 pip install pyzbar

🟡 Tracks used

_

• 🔸 We've used Amazon track
• 🔸 What if we build an overall food traceability system that connect the suppliers, producers, sellers and consumers to increase confidence in food security level and leverage emerging technologies to reduce manual intervention, drive automation, scale readiness and establish trust in buying organic foods thereby building sustainable agriculture ecosystem?

🔸 🔸 THANKYOU 🔸🔸