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    Scraplane: A Blockchain and ML Based System To Facilitate Scrapping of Cars

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    Dilan Joseph
    This document proposes a blockchain and machine learning based system called SCRAPLANE to facilitate the scrapping of cars. The key objectives are to develop an accurate mechanism for predicting the scrap value of a car based on its condition and other features. The system would involve scrap dealers, car owners, and RTOs interacting on a private Ethereum blockchain using proof-of-work consensus. The process begins with parties registering and getting approved. The system would then detect car damage, predict a scrap price, and facilitate transparent settlements between approved owners and dealers.

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    Scraplane: A Blockchain and ML Based System To Facilitate Scrapping of Cars

    Uploaded by

    Dilan Joseph
    56 views19 pages
    This document proposes a blockchain and machine learning based system called SCRAPLANE to facilitate the scrapping of cars. The key objectives are to develop an accurate mechanism for predicting the scrap value of a car based on its condition and other features. The system would involve scrap dealers, car owners, and RTOs interacting on a private Ethereum blockchain using proof-of-work consensus. The process begins with parties registering and getting approved. The system would then detect car damage, predict a scrap price, and facilitate transparent settlements between approved owners and dealers.

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    This document proposes a blockchain and machine learning based system called SCRAPLANE to facilitate the scrapping of cars. The key objectives are to develop an accurate mechanism for predicting the scrap value of a car based on its condition and other features. The system would involve scrap dealers, car owners, and RTOs interacting on a private Ethereum blockchain using proof-of-work consensus. The process begins with parties registering and getting approved. The system would then detect car damage, predict a scrap price, and facilitate transparent settlements between approved owners and dealers.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    56 views19 pages

    Scraplane: A Blockchain and ML Based System To Facilitate Scrapping of Cars

    Uploaded by

    Dilan Joseph
    This document proposes a blockchain and machine learning based system called SCRAPLANE to facilitate the scrapping of cars. The key objectives are to develop an accurate mechanism for predicting the scrap value of a car based on its condition and other features. The system would involve scrap dealers, car owners, and RTOs interacting on a private Ethereum blockchain using proof-of-work consensus. The process begins with parties registering and getting approved. The system would then detect car damage, predict a scrap price, and facilitate transparent settlements between approved owners and dealers.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    of 19

    SCRAPLANE

    A Blockchain And ML Based System to Facilitate


    Scrapping of Cars

    PRESENTED BY
    UNDER THE GUIDANCE OF DILAN JOSEPH
    MRS. LIBSY ANN MERIN BABY ASHBIN ROY
    ASST PROFESSOR, CSE DEPT PAUL VINCENT
    CONTENTS
    ● INTRODUCTION
    ● PROBLEM STATEMENT
    ● OBJECTIVE
    ● SCOPE
    ● LITERATURE SURVEY
    ● PROPOSED SYSTEM
    ● SYSTEM REQUIREMENTS
    ● CONCLUSION
    ● REFERENCES
    INTRODUCTION

    • Scrapping of cars in india is not an organized process like the


    sale of used cars.
    • Transactions related to vehicles mainly involves buying and
    selling.
    • System is designed to help users to track their tasks and manage
    their time more effectively.
    PROBLEM STATEMENT

    ● It is very important to predict the actual price of a used


    car. Hence we come up with a technology that can
    monitor the overall condition of the car and can predict
    the actual market value of the car.
    OBJECTIVE

    ● To develop a real time accurate scrap dealing mechanism


    that can detect the overall condition of the car and predict
    the correct price of the car.
    SCOPE

    ● Actual scrap value can be obtained.


    ● Proper communication between scrap dealer and car owner
    done through smart contract.
    ● There is no bargaining between scrap dealer and car owner.
    ● Every information is updated on the block chain.
    LITERATURE SURVEY.
    EXISTING WORK ADVANTAGES DISADVANTAGES
    A blockchain based Simple approach Hamper users privacy
    service prototype of
    vehicle history tracking Access users internet Very costly
    for used car trade in Assign risk profiles to
    China individuals

    An efficient system Reduced corruption and tax Decreased consumption


    for implementing evasion
    Time consuming
    goods and service tax Positively impact the country
    in India using block Very high tax burden on common people
    GDP
    chain Require heavy processing hardware
    Simple and easy online procedure
    Number of complaints is less
    Modeling and prediction of Users know the factors It is limited in scope
    stock price with CNN based influencing the stock price Less useful in long term price
    on block chain interactive Traders get profit easily prediction
    information without analysing the market Not suitable for investors
    Gives a better idea of entry and Integration of human behaviour
    exit points in the market
    Minimize your loses
    RFID based decision Simple Does not consider the
    support for information Detects profanity and context
    management in the unwanted contents Less efficiency
    automotive plastic recycling
    industry
    PROPOSED SYSTEM

    ● The proposed system gives the importance of scrapping and


    provide them with a convenient scrapping experience
    ● The system incorporates a private Ethereum blockchain and
    machine learning technologies to facilitate a decentralized system,
    allowing for fast and transparent settlements that can be accessed
    by all network members
    ● The system involves three entities: the scrap dealer, car owner, and
    RTO, who use a proof of work consensus algorithm to cooperate
    with each other.
    ● The process starts with the scrap dealer registering with his
    details and waiting for approval from the RTO, who
    authenticates the dealer’s details and allows access to the
    network.
    ● The car owner must also register with their details and wait
    for approval by the scrap dealer and verification by the
    RTO. After verifying both parties, the RTO approves the
    scrapping request.
    ● The system detects car damage and predicts a price based on
    the damage detected and other car features
    Architechture Diagram
    Process Flow Diagram
    SOFTWARE REQUIREMENTS

    ● Operating System -Windows 7or above, Linux OS


    ● Frontend - HTML5, CSS3,J avascript ES 6,
    Bootstrap 4.5,EJS, React 18
    ● Backend – Python ,Flask
    ● Database – My SQL
    ● Web Browser - Mozilla Firefox or Google Chrome
    HARDWARE REQUIREMENTS

    ● Processor - Intel Pentium or above


    ● Storage - 200 GB
    ● Display Type - PC Display
    ● Internet Connection – Required
    ● 8GB RAM
    CONCLUSION
    ● The proposed system is more efficient for dealing with accurate
    amount of scrap than the existing technologies still in the market.
    ● The proposed technology will help the people who was not clear
    about the scrap car market value.
    ● Blockchain works for the perfect evaluation of scrap and predict
    the price.
    REFERENCES
    1)Toqeer Ali Syed, Muhammad Shoaib Siddique, (Member, IEEE), Adnan Nadeem, (Member,
    IEEE), Ali Alzahrani, Salman Jan and Muazzam A. Khan Khattak, A Novel BlockchainBased
    Framework for Vehicle Life Cycle Tracking

    2)Lin William Cong. Zhiguo He, Blockchain Disruption and Smart Contracts,
    https://www.researchgate.net/publication/333388218 – smart contract

    3)Tongzhu ZHANG, Xueping WANG, Jiangwei CHUI, Xianghai LIU, Pengfei CUll, Automotive
    Recycling Information management based on IoT and RFID

    4)Jie Li1, Michael Barwood1 and Shahin Rahimifard1, An Automated Approach for Disassembly
    and Recycling of Electric Vehicle Component

    5)Samiksha Marne, Shweta Churi, Delisa Correia, Joanne Gomes, Predict- ing price of
    cryptocurrency – A deep learning approach, NTASU – 2020.

    6)MRishabh Ranka, Niranjan Sharma, Naman Talati, Nitika Rai, An Efficient System for
    Implementation of Goods and Service Tax in India using Blockchain, NTASU - 2020 (volume 09 -
    issue 03)
    7)Shriram. S, Dr. K. Anuradha, Dr. K. P. Uma, Future Stock Price Prediction
    using Recurrent Neural Network, LSTM and Machine Learning, ICRADL -
    2021 (Volume 09 - issue 05)
    8)Devdoot Maji , Ravi Singh Lamkoti , Hitesh Shetty , Bharati Gondhalekar,
    Certificate Verification using Blockchain and Generation of Transcript
    THANK YOU.

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