Journal of Cognitive Human-Computer Interaction

Journal DOI

https://doi.org/10.54216/JCHCI

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2771-1463ISSN (Online) 2771-1471ISSN (Print)

Machine Learning Based Product Price Inference Using Price Elasticity of Demand Approach

K.Vengatesan , Raghvendra Vijay Naidu , Kunal Ganesh Joshi , ChaitanyaSantosh Tekane , Siddhant Ravindra Gore

In India lot of production and manufacturing industries are there, every time the price fixing to any new or existing product is considered many factors. Many parameters are involved to fix the price of any product. In market price fixing consists of various parameters, before finalize price value of any product, that will be based on the market demand of any product, and customer behavior also may be vary based on the day of purchasing in this proposed work we need to optimization of price product using machine learning algorithm and how effectively increase the proof of any product.

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Doi: https://doi.org/10.54216/JCHCI.030101

Vol. 3 Issue. 1 PP. 08-16, (2022)

Effectiveness and Impact of Online Education on School Students - A Study With Reference to Chennai City

Hariharan E.K.S , Bharath M , MageshwaranS

This study examines how beneficial online learning and tests are for students. During the COVID-19 epidemic, every educational institution has switched to an online style of learning and examination. This study is about the student’s experiences with online classes. This paper also examines how students respond to online classrooms and how they enhance their skills by studying online. A survey was conducted by distributing an online questionnaire to schools students studying in various parts of Chennai city. Data gathered from the survey were analysed with SPSS software. Statistical tools such as paired sample test, ANOVA, Chi-Square test were used to test various hypotheses. The outcomes of the study revealed how students were motivated and the difficulties faced during online classes. An attempt was made to learn about the student’s attitudes towards online classes before and during the COVID-19 outbreak.

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Doi: https://doi.org/10.54216/JCHCI.030102

Vol. 3 Issue. 1 PP. 17-23, (2022)

Online Resume Builder

M.Sumithra , B.Buvaneswari , T.Janeswaran , O.monishlal , M. S. Hariharan , M. Arjun

  A resume is a formal document used by individuals to provide an overview of their professional qualifications, including their relevant work experience, education, skills and other accomplishments. A well-designed resume is an essential document which enables an individual to showcase their skill sets & qualifications during the recruitment or hiring process. Therefore, it is a widely used item that a jobseekeroftenusesinseekingemploymentinjobs.Usually,individualsgetconfusedwhilecreatingresume.Theydon'thaveclearideaofwhatkind of details should be included in a resume. In resume builder, individuals just have to fill their details in the respective fields which will automatically generate a well-structured resume for them. This project not only focus on resume creation but also enables easy input giving for the user by Smart auto-suggestion feature. And also, users can review their resume with real-time preview features. For people with no idea on how to prepare a Resume, we provide a best class Resume Builder for free and without any interruption like authentication, credentials, ads, etc. Users may create any kind of Resume (For example: Fresher, Professor, Veterans, etc.) with professional & elegant look using the resume builder. Hence, an Online Resume Builder supports an individual  to generate an elegant resume in an easy manner.    

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Doi: https://doi.org/10.54216/JCHCI.030103

Vol. 3 Issue. 1 PP. 24-27, (2022)

Infallible and FastQR Code Based Attendance Plus Feedback System

Ramgude.Akshay.Dilip

We all know that keeping track of students' attendance is a crucial part of their education. Marking attendance, particularly in higher educational institutions, is a time-consuming and inefficient operation due to the large number of students. Taking feedback from students during seminars or guest lectures is also a time-consuming and demanding endeavor. It has a significant impact on an educational organization's overall productivity. We also understand that smartphones have become common, as well as a need in this rapidly changing digital world. Various smartphone applications have been developed, allowing us to boost our productivity while saving a significant amount of time. Many digital technologies, such as fingerprint scanning, RFID, facial recognition, QR codes, and barcode-based systems, have been presented in recent years. However, they were unable to adopt these ideas on a broad scale due to factors such as sophisticated functionality, easy to cheat, time demanding, and poor user experience. Furthermore, there are no effective or time-saving methods in place for collecting student feedback during seminars or guest lectures. To address all of these concerns, we devised and suggested a quick, scalable, and error-proof QR code-based system capable of accurately recording attendance and collecting feedback at seminars or guest lectures.

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Doi: https://doi.org/10.54216/JCHCI.030104

Vol. 3 Issue. 1 PP. 28-35, (2022)

An Approach for Devising Stenography Application Using Cross Modal Attention

Shanthalakshmi M , Susmita Mishra , LincyJemina S , Raashmi P , Mannuru Shalin , Jananeee.v

This paper focuses on providing a solution to the direct conversion of speech to shorthand. Since shorthand is not understood by many but is used for writing quick transcripts, a product is developed that converts the speech to its appropriate Gregg shorthand. A website that will be used as a front end, will use a speech-to-text API to record the speech in real-time. The converted text will then be fed into a text-to-image retrieval model that derives its corresponding Gregg shorthand for the text. The text will then be displayed to the user in real-time. By achieving this, the model reduces the need to depend upon stenographers for transcribing scripts. The resulting model achieves a good result.

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Doi: https://doi.org/10.54216/JCHCI.030105

Vol. 3 Issue. 1 PP. 36-41, (2022)