Paper PublishingOnline Fruits and Vegetables Recycling and Reuse System
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.
Related Projects
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
