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    International Journal of Innovative Science and Research Technology
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    As the world is suffering from covid-19 due to which the pandemic has stopped day to day

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    Customized BOT for Educational Institution

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    As the world is suffering from covid-19 due to which the pandemic has stopped day to day

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    © All Rights Reserved
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    13 views3 pages

    Customized BOT For Educational Institution

    Uploaded by

    International Journal of Innovative Science and Research Technology
    As the world is suffering from covid-19 due to which the pandemic has stopped day to day

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
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    of 3

    Volume 8, Issue 1, January – 2023 International Journal of Innovative Science and Research Technology

    ISSN No:-2456-2165

    Customized BOT for Educational Institution


    SujataC. Papade
    Asst. Prof, CSE Department,
    N .K. Orchid College of Engg& Tech, Solapur Maharashtra, India

    Abstract:- As the world is suffering from covid-19 due to


    which the pandemic has stopped day to day activities of
    students such as college admission inquiries, academic details,
    placement cell details, etc. by considering this problem,
    ”Customized bot for educational Institution”, is to be
    developed. The main objective of the system is to provide a
    facility for communicating with the end-user and the
    information which the user wants to access. The Methodology
    that can be used to develop the system is Amazon Lex is a
    service for designing chatty interfaces, [1]An Amazon web
    services Lambda named function used to compute service
    that makes it easy for building an application, and the
    Amazon’s Dynamo-DB is a document database, Amazon
    CloudWatch is monitoring observability service, Amazon’s Fig. 1: System Architecture
    S3 is the object storage service that offersdata
    availability,scalability, security and performance and, An architecture of Chatbot requires a handleredge is a
    Amazon IAM through which it will be able to use secure scheme or a structure that dissimilarunitspractice to
    AWS resources. The system will answer user queries smartly. intermingle through which user action is handled. NLP
    It is to be implemented to feel exactly like person-to-person helps your chatbot analyze and understand natural human
    communication. Information will fetch quickly without language communication. Response handler to give the
    thinking about keywords and queries. response to the user’s queries through text/message. Those
    messages are fetched by DBMS. The architecture of the
    I. INTRODUCTION Chatbot is shown in the below figure.
    As the world is suffering from covid-19 due to which we  Level 0:
    stopped our all outsider activities. But we can’t stop our daily
    routine activities such as office-work, college, and schools all
    thesestuff are still going on in online mode.

    High schools, colleges, and universities across the country


    are viewing students’ safety as their ultimate priority and making
    new policy adjustments to protect everyone.The college
    admissions process was already complicated, and the ongoing
    pandemic has added to the complexity of it. Students, applicants,
    and families may be wondering what to expect going forward, Fig. 1: Data Flow Diagram
    and luckily we have developed a cloud-based Chatbot system on
    our college website.  Level 1:

    If a student wants to take admission in college or he/she


    wants to enquire his/her doubts or a parent who wantsto know
    more about the college in which they want to admit their child or
    an industry person who wants to know about college as well as
    placements information, to overcome everyone’s problem in this
    pandemic we invented a new system named as “Customized
    Chatbot For Educational Institution”.

    Users can ask any queries, college-related activities,


    through the Chatbot System User can get information that Fig. 2: Data Flow Diagram
    theywant to access. There is no need tousergo to college
    personally for any inquiry. This system analyzes the query The above DFD indicates that the modematerial flow
    laterreplies to the handler. The chatbot scheme uses specific through a procedure or structure.
    keywords to retrieve the answer from the database. There is no Zero level DFD: User asks queries on chatbot and
    format to follow while asking any question in the chatbot. So that gets the result back form chatbot and also admin can update
    they would feel the bot to be very friendly. the queries.

    IJISRT23JAN754 www.ijisrt.com 1021


    Volume 8, Issue 1, January – 2023 International Journal of Innovative Science and Research Technology
    ISSN No:-2456-2165
    First level DFD: In the first level the user query will be
    processed and search fetched keyword from the database and then
    return the result in the same flow.

    II. ALGORITHM

     Admin enters user pin for login.


     After Login Success admin can update data.
     Admin can delete the data.

    III. USER LIST

    A. User: Admin
    Admin is handling this Chatbot for maintaining the Data Fig. 4: Add Slots
    related to College.
     Add, Update, Delete Information

    B. User:
    Students, parents, and guests use this chatbot on our college
    website then they can ask their queries.
     Check Attendance report
     Check College Placement details.
     Check Activity
     Query related to admission.

    IV. PROPOSED SYSTEM

    This chatbot help students and parents resolve their queries Fig. 5: Add Utterances
    it will save time for them. All queries can easily be answered
    within a seconds and are also available 24x7. An intent represents some sort of outcome or action
    that a boy may perform. A single bot may be comprised of
    This chatbot is very easy to use for Admin and Employee. multiple intents. Utterances are several phrases that the user
    Admin maintains all the details related to college that is stored in speaks or types to activate the intent. The fulfillment
    the chatbot. process is a method to complete or fulfill the intent, for
    example, a configured lambda function implementing the
    V. RESULT
    respective business logic. In addition to the custom intents,
    lex provides several built-in intents than can be leveraged.
    Each intent may require and must solicit additional
    attributes, otherwise known as slots, from the user to
    complete this intended outcome. Slot types provide a
    typing system for slots. That is, each slot that is defined is
    used to specify a slot type.

    Fig. 3: Add Intents

    Amazon’slex service is a completely managed service, and


    as thatoffers all the neededstructures to figure, install, measure,
    and screen the bot. A chatbot consists of several child
    configuration items, such as intents, utterances, slot types,
    channels, lambda functions, to name a few.
    Fig. 6: Database

    [3] With help of Amazon Kendra, it will be easy to


    summative content from content sources such as Microsoft
    SharePoint, Amazon’s S3, Salesforce, and Amazon’s RDS
    into a unifiedkey that lets you fastlysearch all of your
    creativity data and find the most accurate answer.

    IJISRT23JAN754 www.ijisrt.com 1022


    Volume 8, Issue 1, January – 2023 International Journal of Innovative Science and Research Technology
    ISSN No:-2456-2165
    REFERENCES

    [1.] Amazon Simple Storage Service Documentation.


    https://docs.aws.amazon.com/s3/?icmpid=docs_hom
    epage_featuredsvcs
    [2.] AWS Documentation https://docs.aws.amazon.com/
    [3.] https://aws.amazon.com/
    [4.] RMIT University https://www.rmit.edu.au/news/all-
    news/2022/dec/umibot

    Fig. 7: S3 Connection

    [1]Amazon’s S3 and start to using standard SQL to also to


    run ad-hoc queries and get results in min time. Also, as an
    administrator, it is important to monitor and review any missed
    utterances, as it allows them to modernize and polish the
    utterances list insideanresolved [4] to certify that it spirits under
    as many ordinarily used slogans as probable. This chatbot can be
    integrated into the website using the thought of canals.
    Developers can form and design a chatbot bidinside Amazon’s
    Lex, and then install it to variouscanals. This allows the
    conversation to take place from within the platform beyond
    AWS’s or developers’ applications. All network connections
    established to Amazon Lex are done using HTT.

    VI. CONCLUSION

    The persistence of this scheme is to feign a human dialogue.


    Its constructionassimilates a semantic model and computational
    steps to imitatematerial through communiquéamong a hominoid
    and a PC using natural language. The institution chatbot targets to
    eliminate this struggle by given that a public and manageableedge
    to explainthe probes of institution students and users. The user
    can freely upload ownrequests. The methodoffersa debauched
    and effectivequest for replies to the demands and catches the
    significant result to request. Thestoringcontainsmaterialnearby
    the inquiries, answers, and keywords. Meanwhile the folder is
    self-governing of stowedanswers, new information/data below
    any class can be simplymore and detached and need no
    modification of the stored system responses.

    IJISRT23JAN754 www.ijisrt.com 1023

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