Delivery Tracking System Using Block Chain.

Project Code :TCMAPY643

Objective

The main objective of the project is to provide the security for data in the delivery tracking system.

Abstract

The Delivery Tracking System is a web based system that’ designed primarily for the use in the delivery logistics industry this system will allow delivery  and logistical services company to increase scope of the business by reducing the paper work cost and accountability of goods involved this system also allows quick and easy management of transporting parcels from one point to another as they can be easily tracked compared to the use of manual systems of recording information as it includes message sent to the receiver and the sender to track the parcel .delivery  services employees use the system through an easy to navigate graphical interface for efficient processing . After the parcel being sent has been processed a sent is sent with estimated time of delivery and the customers will be updated once there is a delay moreover a notification will be issued to the customers for pick up however if the receiver is a distance away they can also request a delivery thereafter the customer dashboard is updated that the meal is sent out and the estimated time of delivery once the parcel arrives at the destination then the dashboard is updated to be delivered .Since this will reduce the man required at the front desk it will reduce the loss of goods and services and accountability in terms of credit.

Keywordsβ€” Cyber Security, Cipher text, AES, SHA-1, Hash Keys, Private key, Delivery tracker, delivery boy.

 

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W Specifications:

Β·         Processor                                 :  I3/Intel Processor

Β·         RAM                                       :  8GB (min)

Β·         Hard Disk                                :  160 GB

S/W Specifications:

β€’      Operating System                   :   Windows 7/8/10

β€’      Server-side Script                   :   HTML, CSS & JS.

β€’      IDE                                         :   PyCharm

β€’      Libraries Used                        :   NumPy, IO, OS, TensorFlow, Keras.

β€’      Technology                             :    Python 3.6+.

 

 

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