Online Fruits and Vegetables Recycling and Reuse System

Project Code :TCMAPY461

Objective

Online fruits and vegetables recycling and reuse system refers to the process of making reuse of unsold vegetables and fruits. These unsold ones are processed in various forms by grading them in different categories like healthy, half spoiled and waste. The main objective of the system is to benefit the farmers for the unsold ones.

Abstract

     Online fruits and vegetables recycling and reuse system refers to the process of making reuse of unsold vegetables and fruits. These unsold ones are processed in various forms by grading them in different categories like healthy, half spoiled and waste. The main objective of the system is to benefit the farmers for the unsold ones.

Keywords: CNN, Deep Learning, Transfer Learning, Tensorflow.

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

Block Diagram

Specifications

SYSTEM SPECIFICATIONS:

  • Operating System:   Windows 7+
  • Server side Script:  HTML, CSS & JS
  • IDE:  PyCharm
  • Libraries Used:  Pandas, os, Pillow, MySQL, Keras.

 HARDWARE REQUIREMENTS

  • Processor:  I3/Intel Processor
  • RAM:  8GB (min)
  • Hard Disk:  128 GB
  • Key Board:  Standard Windows Keyboard
  • Mouse :  Two or Three Button Mouse

Learning Outcomes

  • How CNN Works.
  • What is a searchengine and how browser can work?
  • What type of technology versions are used?
  • Use of HTMLand 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 .
  • practical exposure to
    • Hardware and software tools.
    • Solution providing for real time problems.
    • Working with team/ individual.
    • Work on Creative ideas .
  • Frame work use.
  • Datasets properties .
  • Deep learning algorithms.
  • What is ultrasound imaging.
  • Frequencies of ultrasound waves.
  • About keras and tensor flow.
  • About x-ray images.

 

Demo Video

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