Constructing a Study Buddy Using MERN (MongoDB, Express.js, React, Node.js) Stack Technologies †
by
Chamalla Sravani
, 
Pudi Kumar
,
Sanapala Priya
,
Sujith Kumar Yadav
,
Madina Jayanthi Rao
* and
Urlam Devi Prasan
Department of Computer Science & Engineering, Aditya Institute of Technology and Management, Tekkali 532201, India
*
Author to whom correspondence should be addressed.
†
Presented at the 5th International Conference on Innovative Product Design and Intelligent Manufacturing Systems (IPDIMS 2023), Rourkela, India, 6–7 December 2023.
Eng. Proc. 2024, 66(1), 27; https://doi.org/10.3390/engproc2024066027
Published: 17 July 2024
Abstract
:The “Study Buddy” project innovates by creating a dynamic web application that cultivates collaboration and support within the student community. This initiative harnesses the full potential of the MERN (MongoDB, Express.js, React, Node.js) stack to optimize student interactions, accelerate the learning process, and assist with a broad spectrum of academic and non-academic requirements. It revolutionizes how students engage, enabling them to share knowledge, pose queries, and offer assistance, ensuring robust security through authentication and authorization. Additionally, it empowers students to voice their concerns, propose groundbreaking ideas, and forge meaningful connections. This initiative fosters an inclusive and vibrant student environment, where information flows artlessly, challenges are met head-on, and students can thrive academically and beyond.
1. Introduction
In the dynamic landscape of modern education, the “Study Buddy” project [1] emerges as a groundbreaking force poised to reshape the way students engage, collaborate, and learn. Powered by the formidable MERN (MongoDB, Express.js, React, Node.js) stack, this endeavor seeks to elevate the student experience through a comprehensive set of features, each meticulously designed to empower and connect students across educational institutions. Figure 1 shows the evolution of different technologies.
- Authentication and authorization: fortifying security.
- Questions and answers: fostering knowledge sharing.
The power to upvote answers promotes collaboration, ensuring that the wisdom of the crowd prevails.
- 3.
- Complaints posting: amplifying student voices.
- 4.
- Posting ideas sharing: igniting innovation.
- 5.
- Chatbot assistance: instant guidance.
Technologies Empowering “Study Buddy”
In building the “Study Buddy” platform, we harnessed a comprehensive suite of cutting-edge technologies, each carefully selected to provide a secure, seamless, and enriching experience for students.
React, our frontend library of choice, enables the creation of dynamic and responsive user interfaces. Through its component-based structure, it ensures a seamless and engaging experience for students as they interact with “Study Buddy” [2,3]. Node.JS sits at the heart of our real-time communication infrastructure, facilitating instant interactions among students. It ensures that chats and responses from our chatbot are delivered swiftly and reliably [4]. To authenticate and authorize users securely, we employ JSON Web Tokens (JWTs). These tokens encrypt user credentials, ensuring that only authorized individuals gain access to the platform’s features. Our chatbot, powered by AI technology, provides instant assistance to students. Natural language processing (NLP) and machine learning algorithms enable the chatbot to understand and respond to user queries effectively.
2. System Architecture: Empowering “Study Buddy”
Figure 2 indicates the “Study Buddy” project boasts a robust and scalable system architecture designed to seamlessly integrate modern stack technologies and deliver a secure, responsive, and empowering experience for students [5].
2.1. Client-Side (React.js): User-Focused Interface
At the forefront of our architecture lies the client side, built using React.js [6]. This component delivers the user interface, providing an engaging and responsive platform for students. It ensures seamless navigation, dynamic content rendering, and real-time updates.
2.2. Authentication and Authorization (JWTs): Trustworthy Access Control
Authentication and authorization are powered by JSON Web Tokens (JWTs). These tokens ensure secure user access and maintain data integrity by controlling which features and data users can access. User identity is protected, and data confidentiality is upheld.
2.3. Server-Side (Node.js and Express.js): Processing Power
The server side, powered by Node.js and Express.js, forms the backbone of “Study Buddy.” It orchestrates data processing, authentication, and routing, guaranteeing swift and efficient operations. This layer ensures data security and seamless communication between clients and the server.
2.4. Database (MongoDB): Agile Data Management
MongoDB serves as our data repository, offering agile and flexible data management [7]. It stores user profiles, posts, complaints, ideas, and chatbot interactions efficiently. The NoSQL architecture supports scalability as “Study Buddy” grows.
2.5. Q&A and Chatbot: Real-Time Interactions
Real-time interactions are facilitated by our Q&A platform and chatbot. The Q&A platform enables students to ask questions and share knowledge instantly. The chatbot, backed by AI technology, responds to queries, offers assistance, and delivers instant support.
3. Benefits of Using Modern Technologies
3.1. Performance Improvement
Modern technologies, such as the MERN stack (MongoDB, Express.js, React, Node.js), are optimized for performance [8]. They are built to handle asynchronous operations efficiently, reducing the time required to load and process data. This leads to swifter response times and a more seamless user experience.
3.2. Scalability
Modern technologies are designed with scalability in mind. They enable horizontal scaling, meaning you can easily add more server instances or scale your database to accommodate a growing user base. This scalability is crucial for a platform like “Study Buddy,” which may experience increased traffic over time.
3.3. Real-Time Features
Modern technologies offer real-time capabilities through technologies like Web Sockets and event-driven architectures. This allows for instant notifications, chatbot interactions, and dynamic updates to content. In contrast, older technologies may struggle to provide real-time features efficiently.
3.4. Cross-Platform Compatibility
Modern frontend libraries like React.js are designed to build cross-platform user interfaces. This means your “Study Buddy” app can be accessed on various devices and screen sizes, providing a consistent user experience.
3.5. Developer Productivity
3.6. Security
Modern technologies often come with enhanced security features and best practices. They are actively maintained and receive security updates, reducing the risk of vulnerabilities that can be exploited by malicious actors.
3.7. User Experience
Modern technologies enable you to create a more engaging and intuitive user interface. This contributes to a better overall user experience, which is crucial for a student-centric platform like “Study Buddy.” Popularity representations shown in Figure 3.
4. Conclusions
In essence, “Study Buddy” is not just an application; it is a catalyst for transformation in the realm of student engagement. It empowers students to collaborate, share knowledge, voice concerns, and receive instant assistance, ultimately enhancing their educational journey. This project is a testament to the boundless potential of modern technologies to shape the future of education, fostering a community of innovation, collaboration, and excellence. Welcome to the future of learning. Welcome to “Study Buddy”.
Author Contributions
Conceptualization, M.J.R. and U.D.P.; methodology, S.P.; validation, C.S., P.K. and S.K.Y.; formal analysis, C.S.; investigation, P.K.; resources, S.K.Y.; data curation, S.K.Y.; writing—original draft preparation, M.J.R.; writing—review and editing, M.J.R.; visualization, M.J.R.; supervision, U.D.P.; project administration, U.D.P.; funding acquisition, U.D.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data are available in this manuscript.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Porter, P.; Yang, S.; Xi, X. The Design and Implementation of a RESTful IoT Service Using the MERN Stack. In Proceedings of the 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops, Monterey, CA, USA, 4–7 November 2019; pp. 140–145. [Google Scholar]
- Vasanthi, D.; Sivasakthi, T.; Abarna, V.; Arthi, R. Design and Development of Car Rental Website Using Mern Stack. In Proceedings of the 2021 International Conference on Computing, Communication and Green Engineering, Pune, India, 23–25 September 2021; pp. 1–5. [Google Scholar]
- Hemalatha, P.; Dhavavarshini, M.; Dhivya, N. Development of Flexible, Sharing and Leasing a Car Using MERN Stack. In Proceedings of the 2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering, Bangalore, India, 16–17 December 2022; pp. 1–5. [Google Scholar]
- Vinothini, C.; Tarun, C.; Bhavana, K.A.; Krishna, G.N.; Praveen, A. NBA web portal: A Comprehensive Survey on NBA Accreditation and MERN Stack for the Purpose of Implementing a Portal. In Proceedings of the 2022 International Conference on Inventive Computation Technologies, Lalitpur, Nepal, 20–22 July 2022; pp. 1245–1251. [Google Scholar]
- Kanchanamala, P.; Sai, B.H.; Balaji, B.; Panigrahi, A.; Srinivas, K.; Vardhan, A.V. Automated Programming Evaluation using MERN. In Proceedings of the 2023 2nd International Conference on Applied Artificial Intelligence and Computing, Salem, India, 4–6 May 2023; pp. 706–712. [Google Scholar]
- Challapalli, S.S.N.; Kaushik, P.; Suman, S.; Shivahare, B.D.; Bibhu, V.; Gupta, A.D. Web Development and performance comparison of Web Development Technologies in Node.js and Python. In Proceedings of the 2021 International Conference on Technological Advancements and Innovations, Tashkent, Uzbekistan, 10–12 November 2021; pp. 303–307. [Google Scholar]
- Lakshmi, Y.H.; Sangeetha, Y.; Vyshnavi, K.P.S.; Fyzulla, S. A Website for a Consultancy using Mern Stack. In Proceedings of the 2023 3rd International Conference on Smart Data Intelligence, Trichy, India, 30–31 March 2023; pp. 195–200. [Google Scholar]
- Vasavi, I.; Jayasree, J.; Charishma, G.; Kranthi, S. Blood and Plasma Donation, Management System with GPS Using MERN Stack. In Proceedings of the 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing, Bhubaneswar, India, 19–20 November 2022; pp. 1–6. [Google Scholar]
- Chauhan, A.S.; Bhardwaj, S.; Shaikh, R.; Mishra, A.; Nandgave, S. Food Ordering Website Cooked with care developed using MERN stack. In Proceedings of the 2022 6th International Conference on Intelligent Computing and Control Systems, Madurai, India, 25–27 May 2022; pp. 1690–1695. [Google Scholar]
- Rao, M.J.; Kumar, R.K. Follicle Detection in Digital Ultrasound Images Using BEMD and Adaptive Clustering Algorithms. In Lecture Notes in Mechanical Engineering; Springer: Singapore, 2020; pp. 651–659. [Google Scholar]
Figure 1.
Evolution of different technologies.
Figure 2.
Flow of the process.
Figure 3.
Popularity representations.
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MDPI and ACS Style
Sravani, C.; Kumar, P.; Priya, S.; Yadav, S.K.; Rao, M.J.; Prasan, U.D. Constructing a Study Buddy Using MERN (MongoDB, Express.js, React, Node.js) Stack Technologies. Eng. Proc. 2024, 66, 27. https://doi.org/10.3390/engproc2024066027
AMA Style
Sravani C, Kumar P, Priya S, Yadav SK, Rao MJ, Prasan UD. Constructing a Study Buddy Using MERN (MongoDB, Express.js, React, Node.js) Stack Technologies. Engineering Proceedings. 2024; 66(1):27. https://doi.org/10.3390/engproc2024066027
Chicago/Turabian StyleSravani, Chamalla, Pudi Kumar, Sanapala Priya, Sujith Kumar Yadav, Madina Jayanthi Rao, and Urlam Devi Prasan. 2024. "Constructing a Study Buddy Using MERN (MongoDB, Express.js, React, Node.js) Stack Technologies" Engineering Proceedings 66, no. 1: 27. https://doi.org/10.3390/engproc2024066027
