Garbage Classification Using Machine Learning

The collection of strong waste in the metropolitan region is turning into an incredible concern, and it would bring about ecological contamination and might be unsafe to human wellbeing in case it isn't as expected oversaw. Have a high level/keen waste administration framework to deal with an assort

Project Title

Garbage Classification Using Machine Learning

Project Area of Specialization

Software Engineering

Project Summary

The collection of strong waste in the metropolitan region is turning into an incredible concern, and it would bring about ecological contamination and might be unsafe to human wellbeing in case it isn't as expected oversaw. Have a high level/keen waste administration framework to deal with an assortment of waste materials. One of the main strides of waste administration is the division of the loss into the various parts and this cycle is typically done physically by hand-picking. To work on the interaction, we propose a wise waste material characterization framework, which is created by utilizing the 50-layer leftover net pre-train (ResNet-50) , Convolutional Neural Network model which is an AI instrument and fills in as the extractor, and Support Vector Machine (SVM) which is utilized to arrange the loss into various gatherings/types like glass, metal, paper, and plastic , cardboard and Trash . The proposed framework is tried on the waste picture dataset which was created , and can accomplish a precision of 87% on the dataset. The partition cycle of the waste will be quicker and clever utilizing the proposed squander material grouping framework without or lessening human association.

Project Objectives

This project aims to develop a technology for trash processing using image processing for the following things:

1) To segregate all the plastic and other recyclable wastes for sending it to the recycle plant.

2) To accumulate all the metal and non-metal wastes which may be harmful for further recycling are divided into six different classes for better classification process.

3) To gather all the dry waste with less effort for better outcome with proper waste management system implementation.

Project Implementation Method

The system will provide an easy way of implementation process to the main industrial Agent and the Administrator for better waste management implementation.

Firstly , a user can register to the system for proceed and generate his profile into the system for system features usage , he /she will also have an option for Login and logout proceedings.

Secondly , a garbage classification system will provide the user a user friendly web interface as well as the android based interface also for working.

Thirdly , a user / Admin can use the web interface for system monitoring , classes crud operations , Administrator data checking or database work ,

Agent profile management and adding plus dataset adding or deleting and data entry of classified images as an input stats monitoring.

Fourthly , an agent can upload an image from device to check the classified model results of prediction and main thing is that he/she will capture the real time image of garbage product to get accurate classified results.

An agent can use the Mobile device at any place to get capture the real time image of garbage product and sent request to the web integrated system to produce results with the help of trained dataset for accurate results.

Benefits of the Project

• The Garbage classification Project has been designed to resolve the waste problem. The Project aims to put in force sustainable systems of waste collection, identification, classification along with a controlled, systematic and creative ways of reducing waste generation across the country.
• An industrial based project help both the Agent and Admin to work smoothly with the system to separate a huge Garbage material for recycling and waste management.
• It provide a user friendly Web as well as Android based Application manual to both Agent User and Admin to work easily for better outcomes.

At least 87% of data accuracy will proceeds out for classification of products and system will manage a huge amount of waste as well.

Technical Details of Final Deliverable

The end product of "Garbage Classification System Using Machine Learning" will be a web-based application plus Android based integrated Application as well as a documentation manual containing all of the application's technical specifics. It will be built using React js, Django Framework using Python and Machine Learning Algorithms using SVM , CNN, and the SQLite database. We will create a Dashboard that includes Admin Waste Management functionality as well as a Camera Module application. As discussed earlier, specialty of this project is to Manage or Segregate the huge amount of garbage material by recycling with well manner system.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Medical , Agriculture , Food , Manufacturing , Others

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People, Clean Water and Sanitation, Industry, Innovation and Infrastructure, Climate Action, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com