E-blood Bank Monitoring Hospitals

Project Code :TCMAPY398

Objective

In this project, we are implementing an application for online blood banking for the purpose of reducing the time taken in emergency situations who need the blood.

Abstract

The development of 5G technology and other communication technologies have promoted the progress of mobile applications such as live video streaming, smart cities, and smart transportation. 

These applications require communication networks to meet large bandwidth, large capacity, low latency and low power consumption. Therefore, Mobile edge computing (MEC) which is a promising technology has received widespread attention. We propose a mobile edge computing task scheduling algorithm in a multi-user multi-tasking environment.

The algorithm takes into account the time sensitivity of mobile applications. We optimize the traditional task scheduling algorithm with the user's minimum average execution time and minimum computing energy consumption as the goals.

KeywordsMobile Edge Computing, Deadline Requirement, Scheduling Algorithm, Priority.

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

Block Diagram

Specifications

SOFTWARE SPECIFICATIONS:

  • Technology: Deep learning, AI.
  • Libraries: Pandas, Matplotlib, Numpy, Sklearn.
  • Version: Python 3.6+
  • Server-side scripts: HTML, CSS, JS
  • Frame works: Flask
  • IDE: Pycharm

HARDWARE SPECIFICATIONS:

  • RAM: 8GB, 64 bit os.
  • Processor: I3/Intel processor
  • Hard Disk Capacity: 128 GB +

Learning Outcomes

  • Scope of Real Time Application Scenarios.
  • How Internet Works.
  • What is a search engine and how browser can work.
  • What type of technology versions are used .
  • Use of HTML , and CSS on UI Designs .
  • Data Parsing Front-End to Back-End.
  • Working Procedure.
  • Introduction to basic technologies used for .
  • How project works.
  • Input and Output modules.
  • Frame work use.
  • About python.
  • What is machine learning?
  • Machine learning algorithms.
  • What is electronic technologies?
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

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