The main objective of the project is to identify the fake product by taking QR code data using block chain technology.
Manufacturing and marketing of fake or knockoff items and goods puts consumers' finances, health, and safety at risk. Through revenue loss, product slander, downtime, and replacement costs, it also negatively impacts the economic growth of original manufacturers and enterprises, compelling many brands to spend money on legal defence. The fraudulent products are detected using a camera scanner, and the QR or barcode of the item or items is connected to a block chain to save the item's information and the guaranteed unique code, which are stored as database blocks. If the code in the product matches the code in the database, a notification will be sent to the customer indicating the authenticity of the product. If the customer accepts the application's request, a notification will also be sent to the manufacturer indicating the location of the customer's purchase if the code in the product does not match the code in the database. This method of reducing fake goods ensures that customers won't just rely on retailers to decide whether products are authentic.
Keywords: Block chain, admin, user, unknown, QR.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

H/W CONFIGURATION:
Processor - I3/Intel Processor
Hard Disk - 160GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
RAM - 8GB
S/W CONFIGURATION:
Operating System : Windows 7/8/10
Server side Script : HTML, CSS, Bootstrap & JS
Programming Language : Python3.7
Libraries : Flask, Pandas, Mysql.connector, Os, Smtplib, Numpy
IDE/Workbench : PyCharm
Technology : Python 3.6+
Server Deployment : Xampp Server