Sanjay Rajan. J., S. M, Madesh. G., S. S, C. Manikandan
{"title":"Online Weather Station","authors":"Sanjay Rajan. J., S. M, Madesh. G., S. S, C. Manikandan","doi":"10.54216/jchci.050203","DOIUrl":"https://doi.org/10.54216/jchci.050203","url":null,"abstract":"The creation of an online weather station utilising the ESP32 microcontroller and BME280 is described in this abstract. The project's goal is to give people access to current weather information and forecasts via a web interface. The system makes use of sensors to assess temperature, humidity, pressure, and other environmental factors. These measurements are then transferred through Wi-Fi to a cloud-based server. Weather forecasts are created using the analysed and processed data and then shown on an easy-to-use dashboard that can be accessed via a web browser. Users can also sign up to receive email or SMS alerts and notifications if the weather changes. The project provides a scalable and inexpensive method to detect and monitor weather conditions in numerous areas, making it appropriate for application in the aviation, agricultural, and other sectors.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130626610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Survey On Smart Cane For Visually Impaired Using IOT","authors":"Sonia Jenifer Rayen","doi":"10.54216/jchci.010205","DOIUrl":"https://doi.org/10.54216/jchci.010205","url":null,"abstract":"This fundamental point of this task to give a voice-based route framework for the outwardly tested voice acknowledgment module and it is planned to give in general estimates object discovery and constant help through Worldwide Situating Framework (GPS) and ultrasonic sensors. This venture focuses on the advancement of an Electronic Voyaging Help (Estimated time of arrival) unit to assist the visually impaired individuals with finding an impediment free way. This Estimated time of arrival is fixed to the stick of the outwardly tested. At the point when the item is distinguished close to the stick of the outwardly hindered it cautions them with the assistance of the vibratory circuit. The outwardly tested will give the objective's name as the contribution to the voice acknowledgment module. GPS module persistently gets the scope and longitude of the current area. GPS contrasts it and the objective's scope and longitude. The outwardly tested gets the articulated headings which he wants to follow to arrive at his objective","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116306306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Indian Premier League Using Different Aspects of Machine Learning Algorithms","authors":"Gande Akhila, H. K, J. R. Jaramillo","doi":"10.54216/jchci.010101","DOIUrl":"https://doi.org/10.54216/jchci.010101","url":null,"abstract":"The purpose of the present article is to highlight the outcomes of Indian premier league cricket match utilizing a managed taking in come nearer from a team-based point of view. The methodology consists of prescriptive and descriptive models. Descriptive model focuses mainly on two aspects they are, it describes data and statistics of the previous information. i.e., batting, balling or allrounder and It predicts past matches of IPL. Predictive model predicts ranking and winning percentage of the team. The two models show the measurements of winning level of the group Winner that the user has selected. This paper predicts the result through which technique match has highest result. The dataset consists of two groups that is the toss outcome, venue date, which tells about of the counterpart for all matches. Since the nature impact can't be expected in the game, 109 matches which were either finished by downpour or draw/tie, have been taken out from the dataset. The dataset is partitioned into two sections to be specific the test information and the train information.The readiness dataset contains the 70% of the information from our dataset and the test dataset contains 30% of the information from our dataset. There were all out of 3500 coordinates in getting ready dataset and 1500 matches. This paper has been researched earlier by different scholars like Pathak and Wadwa, Munir etl ,and many other scholars. This viewpoint discusses the application of INDIAN PREMIER LEAGUE Matches held in different states. Gives the score of batsman and bowler with the help of machine learning techniques. Focuses on predicted analysis which is predicted by applying with various AI strategies to the real outcome actual result and gives the percentage of predicted result.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128694517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Infallible and FastQR Code Based Attendance Plus Feedback System","authors":"Ramgude.Akshay Ramgude.Akshay.Dilip","doi":"10.54216/jchci.030104","DOIUrl":"https://doi.org/10.54216/jchci.030104","url":null,"abstract":"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.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121595915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"General ChatBot for Medical Applications","authors":"M. Prakash, M. M.Sumithra, B. B.Buvaneswari","doi":"10.54216/jchci.040101","DOIUrl":"https://doi.org/10.54216/jchci.040101","url":null,"abstract":"Applications for chat bots (and voice bots) are being used more frequently in customer care or e-commerce as a direct line of communication between businesses and customers. A software programm known as a bot executes automated, repetitive, and pre-defined tasks. For people, it would be nearly impossible to respond to every single client question. The benefit of employing the notion of a bot is that it eliminates the laborious process of manually responding to customer requests. A bot handles everything automatically. Artificial intelligence is a concept that chatbots employ to communicate with people. It has security features like the ability to deactivate accounts that are sending unsolicited messages. We introduce the bot framework in this paper. Bot is a runtime engine that launches the chatbot programme automatically. and controls security. Bot is freely accessible and open source online.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"1 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116063344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. A. Kumar, M. M.Sumithra, B. B.Buvaneswari, R. Selvalingeshwaran
{"title":"Online Cafeteria E","authors":"M. A. Kumar, M. M.Sumithra, B. B.Buvaneswari, R. Selvalingeshwaran","doi":"10.54216/jchci.040103","DOIUrl":"https://doi.org/10.54216/jchci.040103","url":null,"abstract":"This is probably one of the most frequent difficulties that a middle-class family experience. As a consequence, ONLINE CAFETERIA E is an online marketplace where individuals can purchase goods at a reduced cost and also save money. Our online shoppers may purchase fresh, high-quality organic foods directly from us. We offer complimentary delivery and accept a range of payment methods. Our major purpose is to supply long-term and fast-delivery products to our consumers. Because of the various perks and benefits, a significant number of individuals are increasingly preferring online shopping over conventional shopping. In recent history, the buyer's decision-making process has evolved dramatically. Before interacting with a salesperson, purchasers undertake comprehensive internet research. Buyers are rapidly making more direct online purchases and via their cell phones, rather than visiting conventional cinder block shops. Doing business has never been simpler or quicker than it is today, owing to the internet. It has prompted a shift in how people do business, with a fast-expanding worldwide trend toward online buying, or ecommerce.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131224423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Attendance System using Real Time Face Recognition and MySQL Database","authors":"A. Admin, Vettri Chezhian. P, R. K, N. S","doi":"10.54216/jchci.020102","DOIUrl":"https://doi.org/10.54216/jchci.020102","url":null,"abstract":"This project aims to design a automated attendance system using face-recognition and MySQL database. We have presented our idea to implement an “Automated Attendance System Using Real Time Face recognition and MySQL Database”. The application includes face identification, which saves time as well as being purely software based it can be flagged as eco-friendly as it reduces the use of paper and also send a message to the student of his attendance record in the end of every day. This system also eliminates the chances of fake attendance because of the face being used as a biometric for authentication. This system avoids the concept of fake attendance where attendance plays an important role. The proposed system is designed in Python as well as SQL database. The algorithm used in the system compare the image captured encoded value with the value already available with us to recognize the face. The system has output in the form of MYSQL Database.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123848153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Admin, K. Vengatesa, Kunal Joshi, Chaitanya Tekane
{"title":"Counterfeit Product Detection System Using One-Time QR code","authors":"A. Admin, K. Vengatesa, Kunal Joshi, Chaitanya Tekane","doi":"10.54216/jchci.020205","DOIUrl":"https://doi.org/10.54216/jchci.020205","url":null,"abstract":"Counterfeit goods have become particularly crucial issue in the product manufacturing industry in recent years. This phenomenon has an impact on company sales and profits. This problem affects a variety of industries, including pharmaceuticals, electronics, jewellery, and cosmetics. We also recognize that in today's fast changing digital environment, smartphones have become both common and necessary. Various smartphone applications have been developed, allowing us to increase our productivity while also saving time. In recent years, several digital technologies have been introduced, such as QR codes, barcodes, OTP verification, call verification, and so on for detecting falsified products. However, due to reasons such as complicated functionality, easy cheating, and poor user experience, they were unable to implement these ideas on a large scale. A one-time QR code-based solution is used to ensure the identification of real products across the supply chain and at the consumer end, avoiding product counterfeiting. By using this system, consumers can easily differentiate between genuine and tampered or counterfeit product without any registration. The proposed system also helps the organization get data of the customers based on the region where their product is being sold. The given approach is quite scalable, fool-proof and cost effective as it uses centralized database, QR code generator and scanner.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114093801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Admin, B. Buvaneswar, Jessica Judith, S,, Dymphna Mary C, P. R,, P. S
{"title":"Innovation for Better Education System using Artificial Intelligence","authors":"A. Admin, B. Buvaneswar, Jessica Judith, S,, Dymphna Mary C, P. R,, P. S","doi":"10.54216/jchci.020103","DOIUrl":"https://doi.org/10.54216/jchci.020103","url":null,"abstract":"In today’s world, Gen Z finds it difficult to maintain attention during classes. Students tend to get distracted easily. With the flow of information all around them, a constant search for new activities is on the rise. To understand the needs of individual students the emotional status of the students are taken into account. Our education system uses Local Binary Pattern (LBP) algorithm for feature extraction and emotion intensity recognition. The extracted features are used as input for the AI algorithm which creates the personalized lessons for each individual according to their needs. The lessons are categorized into three categories based on their understanding capability along with the personalized time-line. This innovation helps students to achieve greater heights by using personalized lessons according to their capacity. A tracking system is implemented to monitor the emotions and attention level of the students, thereby ensuring successful completion of academics. As teachers, continuous acquiring of knowledge is vital. This innovative AI system helps teachers stay updated in their respective field. To provide security for the students while they are in the campus, the AI system using surveillance camera detects suspicious activities and alerts the respective in-charge to take necessary actions. As a result, we provide a better education system in all aspects.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128261265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Collaborating The Textual Reviews Of The Merchandise and Foretelling The Rating Supported Social Sentiment","authors":"V. K","doi":"10.54216/jchci.010203","DOIUrl":"https://doi.org/10.54216/jchci.010203","url":null,"abstract":"Lately, we have seen a twist of audit sites. It presents a decent opportunity to share our experience for a considerable length of time we have bought. Be that as it may, we tend to confront the information over-burdening issue. A method for mining significant information from surveys to know a client's inclinations and produce precise proposal is fundamental. Since quite a while ago settled recommender Systems (RS) considers a few variables, similar to client's buy records, item class, and geographic area. During this work, we have proposed sentiment-based rating prediction technique (RPS) to help up the expectation precision in recommender Systems. First and foremost, we examine the social user sentimental measuring approach and calculate every user’s sentiment on things/items. Furthermore, we don't exclusively consider a client's own wistful properties anyway moreover take interpersonal social sentimental influence into study. Then, at that point, we propose to consider item name, which might be deduced by the sentimental distributions of a user set that reflect clients' comprehensive analysis. Finally, we tend to intertwine 3 factors-user sentiment similarity, interpersonal social sentimental distributions of a client opinion likeness, interpersonal social sentimental influence, associate the thing's reputation relationship into our recommender system to make a talented rating prediction. Then, at that point, we arranged a presentation analysis of the 3 sentimental factors on a genuine world dataset gathered from Yelp. Our exploratory outcomes show, the sentiment will well describe user preferences, which facilitate to hike the proposal execution.","PeriodicalId":330535,"journal":{"name":"Journal of Cognitive Human-Computer Interaction","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114357312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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