research paper on hostel management system

Hostel’s Room Allocation System: A Framework Using Single-layer Fuzzy Logic

Proceedings of the International Conference on Innovative Computing & Communication (ICICC) 2021

4 Pages Posted: 28 Apr 2021 Last revised: 13 May 2021

Abhishek Sharma

Lovely Professional University

Amandeep Kaur

Date Written: April 24, 2021

After globalization, the differences between countries have been diminished, and it seems that the whole world has become a single common landmass sharing the resources in between. Because of this, the migration increased and people started moving from the areas having lower or fewer resources to the places having more resources. In the same way, the world has seen that the students started moving to other places leaving their native cities/towns to attain higher studies. Here, the accommodation plays a very important role for students. Nowadays, many institutions are facing the problem of Room allocation like on what basis the roommates will be paired, what all the characteristics that should be taken care while doing the same. As many of the people who are sharing their rooms with someone else are also not compatible sometimes. There is a lot of improvement in the hostel management system earlier traditional approach of pen and register was used which switched to an online system at some places. Pairing of roommates is just done on the basis of first come first serve. Rooms should be allocated on the basis of some logical relation encountering characteristics of students rather random ones. Fuzzy logic will be used to determine which suitable room will be allocated to which student on the basis of their attributes.

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Abhishek Sharma (Contact Author)

Lovely professional university ( email ).

Jalandhar, Punjab India

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• DOI: 10.31142/ijtsrd14110
• Corpus ID: 168384301

Hostel Management System

• Aman Jung Karki , Ritesh Kumar Bista
• Published in International Journal of… 24 May 2018
• Computer Science

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Online Hostel Management System Using Hybridized Techniques of Random Forest Algorithm and Long Short-Term Memory

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• S. Suriya 7 ,
• G. Meenakshi Sundaram 7 ,
• R. Abhishek 7 &
• A. B. Ajay Vignesh 7  

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Hostel management is a Web application that is created for managing various hostel activities that limit physical labor and makes jobs much easier for all the users of the app. Many universities are using the traditional procedure for storing data. This has a bad effect on the efficiency of the institution. This Web application provides the users a user-friendly GUI that makes all hostel-related activities easier than before. Machine learning is used in every module such as registration, token booking, room allotment and leave form module to make all these processes quicker and support multiple users at the same time. Machine learning facilitates systems to enrich their ability to automatically improve their functionality through learning. These kinds of systems use datasets to learn and train themselves through it. This training does not even require human assistance or intervention. Supervised machine learning techniques involve a set of predefined training dataset to train themselves. Unsupervised machine learning techniques explore datasets to infer structure for unstructured data. This paper focuses on identification of the drawbacks of the existing system which leads to the designing of computerized GUI-oriented system. LSTM is used to enhance the effectiveness of the computerized system. Random forest algorithm is a supervised learning method for tasks such as classification and prediction that involve the construction of multiple decision trees at training time and outputting the class that is the mode of the classes in classification or the mean prediction of the individual trees in regression. The reason that we use random forest algorithm is that it does not overfit data for large datasets which is suitable in our case. It combines the result of one or more decision trees to avoid overfitting. They are flexible and provide results with high accuracy. Scaling of data is not necessary.

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Suriya, S., Meenakshi Sundaram, G., Abhishek, R., Ajay Vignesh, A.B. (2021). Online Hostel Management System Using Hybridized Techniques of Random Forest Algorithm and Long Short-Term Memory. In: Patnaik, S., Yang, XS., Sethi, I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5243-4_17

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A Comprehensive Study of and Possible Solutions for A Hostel Management System

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The ongoing manual hostel management system demands a lot of paperwork and calculation and therefore may be imprecise, which leads to inconsistency and inaccuracy in maintenance of data. The information stored on the paper can be lost, stolen or destroyed, under any circumstances. Thus, the present system takes a lot of time causing inconvenience to hostellers and employees. Due to this manual behavior, it becomes complicated to add, update, delete or view the data. Also, if the number of hostellers increases drastically, then to preserve detailed records of every student is extremely difficult. Therefore, the key intention of this paper is targeted for College Hostel which integrates allocated room report, unallocated room report, transaction management, maintaining the decorum of the hosteller and giving a platform for placements to be excellently controlled. This chapter proposed management of the hostel in a computerized system. The system is equipped with some special features for serving hostel admin. Each record will generate a unique identity and it can be searched by a unique ID. The warden will have a better control over the functionalities like complaint management and tracking time using RFID. This will turn down efforts of warden and provide better service to the hostellers.

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HOSTEL MANAGEMENT SYSTEM A PROJECT REPORT

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