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    Mini Project Report1

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    adeeb zahid

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    Mini Project Report1

    Uploaded by

    adeeb zahid
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    mini_project_report1[1]

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    3 views7 pages

    Mini Project Report1

    Uploaded by

    adeeb zahid

    Copyright:

    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    of 7

    VISVESVARAYA TECHNOLOGICAL UNIVERSITY,

    JNANA SANGAMA, BELAGAVI-560018

    A MINI PROJECT REPORT ON

    “FACIAL ANALYSIS USING DEEPFACE


    FOR PREFERENCING IN AIRBNB”
    Submitted in partial fulfilment of the requirements for the degree of
    IN
    COMPUTER SCIENCE & ENGINEERING
    Submitted By

    KUNAL KUMAR R USN: 1DB21CS066


    RISHIKA JHA USN: 1DB21CS118
    RAGENDHU P USN: 1DB21CS111

    Under the Guidance of:


    Mrs. Saritha
    Assistant Professor

    DEPARTMENT COMPUTER SCIENCE & ENGINEERING OF


    DON BOSCO INSTITUTE OF TECHNOLOGY
    BENGALURU – 560074, KARNATAKA
    2023 – 2024
    DON BOSCO INSTITUTE OF TECHNOLOGY
    BENGALURU – 560074, KARNATAKA

    DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

    CERTIFICATE
    This is to certify that the Mini Project entitled “Facial analysis using Deepface for
    preferencing in AirBnb” has been successfully completed by

    Kunal Kumar R USN: 1DB21CS066


    Rishika Jha USN: 1DB21CS118
    Ragendhu P USN: 1DB21CS111

    the bonafide students of Department of Computer Science & Engineering, Don Bosco
    Institute of Technology of the Visvesvaraya Technological University, Belagavi, during
    the year 2023–2024. It is certified that all corrections/suggestions indicated for Internal
    Assessment have been incorporated in the report deposited in the departmental library. The
    Mini project report has been approved as it satisfies the academic requirements in respect of
    Mini Project work prescribed for the Bachelor of Engineering Degree.

    Mrs. Saritha D Dr. K B Shiva Kumar


    Assistant Profesor Associate Professor and Head

    Name of the Examiners Signature with Date

    1.

    2.
    VISVESVARAYA TECHNOLOGICAL UNIVERSITY,
    JNANA SANGAMA, BELAGAVI-560018
    DON BOSCO INSTITUTE OF TECHNOLOGY
    BENGALURU – 560074, KARNATAKA
    DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

    Declaration
    We, Kunal Kumar R, Ragendhu P, Rishika Jha, bearing USN: 1DB21CS066,
    1DB21CS111, 1DB21CS118 are students of 6th semester ,B.E in Computer Science and
    Engineering, Don Bosco Institute of Technology ,hereby declare that the entire work
    titled,”FACIAL ANALYSIS USING DEEPFACE FOR PREFERENCING IN
    AIRBNB” is completed and written by us under the supervision of my guide Mrs.
    Saritha D, Assistant Professor, Department of Computer Science and Engineering, Don
    Bosco Institute of Technology, Bengaluru, of the Visvesvaraya Technological
    University, Belagavi, during the academic year 2023-2024. The dissertation report is
    original and it has not been submitted for any other degree in any university.

    SL NO. NAME USN SIGNATURE


    1. KUNAL KUMAR R 1DB21CS066
    2. RISHIKA JHA 1DB21CS118
    3. RAGENDHU P 1DB21CS111

    Place: Bengaluru
    Date:
    ACKNOWLEDGEMENT
    The satisfaction and euphoria that accompany a successful completion of any task would be
    incomplete without the mention of people who made it possible, success is the epitome of
    hard work and perseverance, but steadfast of all is encouraging guidance.

    So, with gratitude we acknowledge all those whose guidance and encouragement served as
    beacon of light and crowned the effort with success.

    The selection of this mini project work as well as the timely completion is mainly due to the
    interest and persuasion of our mini project coordinator Mrs. Saritha, Assistant Professor,
    Department of Computer Science & Engineering. We will remember his contribution for
    ever.

    We sincerely thank, Dr. K B Shivakumar, Professor and Head, Department of Computer


    Science & Engineering who has been the constant driving force behind the completion of the
    project.

    We thank our beloved Principal Dr. B S Nagabhushana, for his constant help and support
    throughout.

    We are indebted to Management of Don Bosco Institute of Technology, Bengaluru for


    providing an environment which helped us in completing our mini project.

    Also, we thank all the teaching and non-teaching staff of Department of Computer Science &
    Engineering for the help rendered.

    Kunal Kumar R 1DB21CS066


    Rishika Jha 1DB21CS118
    Ragendhu P 1DB21CS111
    ABSTRACT

    The sharing economy model, represented by companies such as Uber,


    Airbnb, and Couchsurfing, offers individuals the opportunity to monetize
    underutilized assets by renting them out. Yet it has its own shortcomings as
    well. These platforms have faced criticism due to reports of discrimination.
    Airbnb, in particular, has been scrutinized for instances of discrimination
    reported in New York. To address this problem, Airbnb has implemented anti-
    discrimination policies, yet there are still reports of preferences shown by
    guests and hosts during the booking and approval processes. Similarity breeds
    connections, but in this case, this leads to unequal opportunities for people of
    different ethnicities, age groups, or genders.
    This research aims to assess the diversity and the preference of guests
    booking accommodations through Airbnb. The study analyses the age, gender,
    and ethnicity of guests making bookings on the platform to measure the
    preferential attachment. Additionally, it compares the behaviour of
    communities in the western and eastern parts of the world, using New York and
    Tokyo as examples. The findings will reveal the preference of guests and the
    diversity of communities in these regions. We then compared the preferential
    behaviour of community in the western and the eastern part of the world, New
    York and Tokyo in this case.
    Our research indicates that there is a significant preference for certain
    individuals within a specific age range, gender, and ethnicity when it comes to
    travel to New York and Tokyo. This preference suggests that individuals who
    do not belong to the preferred age range, gender, and ethnicity may have fewer
    opportunities for success in the market.
    TABLE OF CONTENTS

    CHAPTER DESCRIPTIONS PAGE


    NO. NO.

    DECLARATION i

    ACKNOWLEDGEMENT……………………………………………............ ii

    1. INTRODUCTION

    1.1 BREIF OVERIEW OF THE PROJECT


    1.2 OBJECTIVES

    2. LITERATURE REVIEW
    2.1 SUMMARY OF RELEVANT RESEARCH AND STUDIES

    3 METHODOLOGY
    3.1 DETAILED DESCRIPTION OF METHODS AND TOOLS USED
    3.2 DIAGRAMS AND FLOWCHARTS

    4 IMPLEMENTATION
    4.1 STEP-BY-STEP EXPLANATION OF THE IMPLEMENTATION
    PROCESS
    4.2 CODE SNIPPETS WITH EXPLANATION

    5 RESULTS AND DISCUSSION


    5.1 PRESENTATION OF RESULTS
    5.2 INTERPRETATION OF RESULTS

    6 CONCLUSION
    6.1 SUMMARY OF FINDINGS
    6.2 FUTURE WORK AND IMPROVEMENTS

    REFERENCES…………………………………………………………

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