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Original Article
Implementation of an Intelligent Campus Networking and Student Interaction Platform using MERN Stack
Mangala Biradar1
Swanand Nevhal2
Sonal Kawade3
Yash Kale4
Abhishek Chaudhari5
1 Professor, SRCOE, Department of Computer Engineering, Pune, Maharashtra, India. 2 3 4 5 Student, SRCOE, Department of Computer Engineering, Pune, Maharashtra, India.
Published Online: May-August 2026
Pages: 161-170
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502018
References
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2. Huang S., Xiang H., Leng C., Xiao F. (2024). Cross-Social-Network User Identification Based on Graph Models. Electronics Journal.
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https://doi.org/10.3389/fpsyt.2024.1361497
6. Dileo M., Zignani M., Gaito S. (2023). Temporal Graph Learning for Social Network Link Prediction. Machine Learning Journal.
https://doi.org/10.1007/s10994-023-06475-x
7. Lima I.R., Filipe V., Marinho C., et al. (2023). ARTICONF: A Decentralized Social Media Platform for Crowd Journalism.
https://doi.org/10.1007/s13278-023-01110-y8. Yang J., Zhang M. (2023). A Socio-Technical Approach to Platform-Based Social Systems. Humanities & Social Sciences Communications.
https://doi.org/10.1038/s41599-023-02326-1
9. Ng Y.M.M., Taneja H. (2023). Web Use and Social Platform Behavior Study. PLOS ONE. https://doi.org/10.1371/journal.pone.0278594
10. Dvir-Gvirsman S., Sude D., Raisman G. (2023). Cross-Platform Social Media Engagement Study. New Media & Society.
https://doi.org/10.1177/14614448231154432
11. Jha A.K., Verma N.K. (2023). Social Media Platforms and User Engagement. Information Systems Frontiers. https://doi.org/10.1007/s10796-
023-10376-
12. Camacho D., Panizo-LLedot Á., Bello-Orgaz G., et al. (2020). Social Network Analysis: Methods and Applications.
https://doi.org/10.48550/arXiv.2002.09485
13. Dvir-Gvirsman S. (2019). Understanding User Engagement in Social Network Platforms. New Media & Society.
https://doi.org/10.1177/1461444819826532
14. Alalwan A.A., Rana N.P., Dwivedi Y.K., Algharabat R. (2019). Social Media in Marketing: A Review and Analysis. Telematics and
Informatics.https://doi.org/10.1016/j.tele.2018.12.004
15. Camacho D., Panizo-LLedot Á., Bello-Orgaz G., Gonzalez-Pardo A., Cambria E. (2018). The Four Dimensions of Social Network Analysis.
https://doi.org/10.1016/j.future.2018.05.050
16. Neelam LabhadeKumar, Mangala S Biradar, Ashvini Narayan Pawale,"Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mecha-nism Optimization with Non-Linear Analysis"Journal of Computational Analysis and Applications, Vol. 33 No. 05 (2024)
17. Neelam Labhade-Kumar “Shot Boundary Detection Using Artificial Neural Network”, Advances in Signal and Data Processing. Lecture
Notes in Elec-trical Engineering, Springer, Vol 703. PP-44-55 Jan-2021
18. Neelam Labhade-Kumar Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical
Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm, Communications on Applied Nonlinear Analysis, ISSN: 1074-
133XVol 31 No. 6s (2024), PP-602-617 August 2024
19. Neelam Labhade-Kumar “Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller and Smart
Sensors"7th International Conference on Inventive Computation Technologies, IEEE Xplore Part Number : CFP24F70-ART ; ISBN : 979-8-
3503-5929-9, 2024,PP-1961-1968
20. Dr.Neelam Labhade-Kumar “Novel Management Trends Using IOT in Indian Automotive Spares Manufacturing Industries”, Journal of
Pharmaceutical Negative Results , Vol. 13 ISSUE 09,PP 4887-4899, Nov-2022
21. Dr.Neelam Labhade-Kumar “Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission In WSN”, Journal of Pharmaceutical
Negative Results, Vol. 14 ISSUE 02,PP-480-484, Jan-2023,
22. Neelam Labhade-Kumar “Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans”,
Journal of Artificial Intelligence and Technology, 2023
23. Neelam Labhade-Kumar “Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep
Learning Tech-niques”, Carpathian Journal of Food Science and Technology,2023, Special Issue, 1-18
24. Neelam Labhade-Kumar “Accident prevention and management system in urban VANET for improving slippery roads ride after rain”
Journal of envi-ronmental protection and ecology, ISSN:1311-5065 Issue 2 volume 25,PP 586–599,2024
25. Prof. Dr. Neelam Labhade-Kumar, An image processing method for kidney stone segmentation in CT scan images based on CNN-regularized
extreme learning machine approach, Hybrid and Advanced Technologies, PP- 217-222,202
https://doi.org/10.48550/arXiv.2510.06733
2. Huang S., Xiang H., Leng C., Xiao F. (2024). Cross-Social-Network User Identification Based on Graph Models. Electronics Journal.
https://doi.org/10.3390/electronics13122351
3. Peters H., Liu Y., Barbieri F., et al. (2024). Context-Aware Prediction of User Engagement on Social Platforms. Journal of Big Data.
https://doi.org/10.1186/s40537-024-00955-0
4. Madouh M., Kwon K.H. (2023). A Media Ecology Study of Social Networks https://doi.org/10.1177/01968599231210776.
5. Xiong S., Chen J., Yao N. (2024). A Multidimensional Framework for Understanding Social Media Platform Usage. Frontiers in Psychiatry.
https://doi.org/10.3389/fpsyt.2024.1361497
6. Dileo M., Zignani M., Gaito S. (2023). Temporal Graph Learning for Social Network Link Prediction. Machine Learning Journal.
https://doi.org/10.1007/s10994-023-06475-x
7. Lima I.R., Filipe V., Marinho C., et al. (2023). ARTICONF: A Decentralized Social Media Platform for Crowd Journalism.
https://doi.org/10.1007/s13278-023-01110-y8. Yang J., Zhang M. (2023). A Socio-Technical Approach to Platform-Based Social Systems. Humanities & Social Sciences Communications.
https://doi.org/10.1038/s41599-023-02326-1
9. Ng Y.M.M., Taneja H. (2023). Web Use and Social Platform Behavior Study. PLOS ONE. https://doi.org/10.1371/journal.pone.0278594
10. Dvir-Gvirsman S., Sude D., Raisman G. (2023). Cross-Platform Social Media Engagement Study. New Media & Society.
https://doi.org/10.1177/14614448231154432
11. Jha A.K., Verma N.K. (2023). Social Media Platforms and User Engagement. Information Systems Frontiers. https://doi.org/10.1007/s10796-
023-10376-
12. Camacho D., Panizo-LLedot Á., Bello-Orgaz G., et al. (2020). Social Network Analysis: Methods and Applications.
https://doi.org/10.48550/arXiv.2002.09485
13. Dvir-Gvirsman S. (2019). Understanding User Engagement in Social Network Platforms. New Media & Society.
https://doi.org/10.1177/1461444819826532
14. Alalwan A.A., Rana N.P., Dwivedi Y.K., Algharabat R. (2019). Social Media in Marketing: A Review and Analysis. Telematics and
Informatics.https://doi.org/10.1016/j.tele.2018.12.004
15. Camacho D., Panizo-LLedot Á., Bello-Orgaz G., Gonzalez-Pardo A., Cambria E. (2018). The Four Dimensions of Social Network Analysis.
https://doi.org/10.1016/j.future.2018.05.050
16. Neelam LabhadeKumar, Mangala S Biradar, Ashvini Narayan Pawale,"Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mecha-nism Optimization with Non-Linear Analysis"Journal of Computational Analysis and Applications, Vol. 33 No. 05 (2024)
17. Neelam Labhade-Kumar “Shot Boundary Detection Using Artificial Neural Network”, Advances in Signal and Data Processing. Lecture
Notes in Elec-trical Engineering, Springer, Vol 703. PP-44-55 Jan-2021
18. Neelam Labhade-Kumar Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical
Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm, Communications on Applied Nonlinear Analysis, ISSN: 1074-
133XVol 31 No. 6s (2024), PP-602-617 August 2024
19. Neelam Labhade-Kumar “Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller and Smart
Sensors"7th International Conference on Inventive Computation Technologies, IEEE Xplore Part Number : CFP24F70-ART ; ISBN : 979-8-
3503-5929-9, 2024,PP-1961-1968
20. Dr.Neelam Labhade-Kumar “Novel Management Trends Using IOT in Indian Automotive Spares Manufacturing Industries”, Journal of
Pharmaceutical Negative Results , Vol. 13 ISSUE 09,PP 4887-4899, Nov-2022
21. Dr.Neelam Labhade-Kumar “Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission In WSN”, Journal of Pharmaceutical
Negative Results, Vol. 14 ISSUE 02,PP-480-484, Jan-2023,
22. Neelam Labhade-Kumar “Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans”,
Journal of Artificial Intelligence and Technology, 2023
23. Neelam Labhade-Kumar “Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep
Learning Tech-niques”, Carpathian Journal of Food Science and Technology,2023, Special Issue, 1-18
24. Neelam Labhade-Kumar “Accident prevention and management system in urban VANET for improving slippery roads ride after rain”
Journal of envi-ronmental protection and ecology, ISSN:1311-5065 Issue 2 volume 25,PP 586–599,2024
25. Prof. Dr. Neelam Labhade-Kumar, An image processing method for kidney stone segmentation in CT scan images based on CNN-regularized
extreme learning machine approach, Hybrid and Advanced Technologies, PP- 217-222,202
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