Best College Predictor for Higher Education to Students

Authors

  • Vikas BO  ISE, New horizon college of Engineering, Bangalore, Karnataka, India
  • Keerthi Shree V  ISE, New horizon college of Engineering, Bangalore, Karnataka, India

Keywords:

Predictor, Information System, Web-Based System, GUI, Java net-beans.

Abstract

The project is about the admission process into the university0where students will select on what basis criteria they are joining the university like EAMCET, IPE, MAINS. System will take in the marks in a particular exam thereby displaying the available branches as per their marks. After entering their marks and selecting their branch a concession of Fee and the final Fee will be displayed in one frame and in another frame the student will be entering the necessary details like name, age, gender, father’s details, mother’s details and mode of payment. All these information will be stored and displayed. This is done by GUI and frames. Java may be a high leveling programs, but later became a well-liked choice for creating web applications. Java may be a high-level programing language developed by Sun Microsystems. It was originally designed for developing programs for set-top boxes and handled devices. GUI stands for Graphical interface , a term used not only in Java but altogether programming languages that support the event of GUIs. A program's graphical interface presents an easy-to-use visual display to the user. It is made up of graphical components through which the user can interact with the page or application. To make graphical user interfaces in Java, use either Swing or JavaFX. In Java, a frame may be a window that has nice borders, various buttons along the highest border, and other features. a frame may be a container object ,so GUI components are often placed in it. This project helps us to simply find an appropriate college supported our rank.

References

  1. Gonçalves, 19th Latin American web congress ,2014.
  2. Cinco, Jenny May T., and Raphy A. Dalan. "Web-based Alumni Network and Database Information with Mobile Application." (2019).
  3. Jade, Amr no. 6 (2016): 198.
  4. Iswara, H. W. W., and H. Joti In Journal of Physics: Conference Series, vol. 1456, no. 1, p. 012024. IOP Publishing, 2020.
  5. S Mohankumar, Analysis of different wavelets for brain image classification using support vector machine, International Journal of Advances in Signal and Image Sciences 2 (1), 1-4, 2016
  6. Naga Raju Hari Manikyam and S MohankumarMethods And Techniques To Deal With Big Data Analytics And Challenges In Cloud Computing Environment, International Journal of Civil Engineering & Technology 8 (4), 2017
  7. S MohanKumar and Balakrishnan.G, Multi Resolution Analysis for Mass Classification in Ddigital Mammogram using Stochastic Neighbor Embedding, ICCSP,2013,101-105.
  8. Dr.S. Mohan Kumar and Dr G. Balakrishnan, Wavelet And Symmetric Stochastic Neighbor Embedding Based Computer Aided Analysis For Breast Cancer, Indian Journal of Science and Technology ISSN 0974-6846 and 0974-5645, Volume 9, Issue 47, 12-16
  9. Dr. Mohan Kumar S & Dr. Balakrishnan, Classification Of Breast Mass Classification – CAD System And Performance Evaluation Using SSNE, IJISET – International Journal of Innovative Science, Engineering & Technology, Vol. 2, Issue 9, 417-425, ISSN 2348 – 7968
  10. Dr. Mohan Kumar S, Dr. Balakrishnan, Classification Of Breast Mass Classification – CAD System With Performance Evaluation, International Journal of Engineering And Computer Science, Volume 4, Issue 09, 14187-14193, ISSN 2319-7242, September, 2015
  11. Dr. Mohan Kumar S, Dr. Balakrishnan, Classification Of Breast Microcalcification- CAD System And Performance Evaluation Using SSNE, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5 , Issue 9, 824-830, ISSN: 2277 128X, Sep- 2015
  12. Revathi Y, Dr S Mohan Kumar, Efficient Implementation Using RM Method For Detecting Sensitive Data Leakage In Public Network International Journal of Modern Trends in Engineering and Research, Volume 3, Issue 04, Page Numbers: 515-518, ISSN (Online):2349–9745 ISSN (Print):2393-8161 , April, 2016
  13. Revathi Y , Dr S Mohan Kumar, Review On Importance And Advancement In Detecting Sensitive Data Leakage In Public Network, International Journal Of Engineering Research And General Science, Volume 4, Issue 02, Page Numbers:263-265, ISSN:2091-2730, April, 2016
  14. Revathi Y, Dr S Mohan Kumar, A Survey On Detecting The Leakage Of Sensitive Data In Public Network International Journal of Emerging Technology and Advanced Engineering, Volume 6, Issue 03, Page Numbers:234-236, January, 2016
  15. Dr. S. Mohan Kumar & Anisha Rebinth, Automated detection of Retinal Defects using image mining, A review, European Journal of Biomedical and Pharmatical Sciences, European ISSN : 2349 – 8870, Volume 5 , Issue : 01 year : 2018, pp No.: 189 – 194
  16. Dr. S. Mohan Kumar& Darpan Majumder, Healthcare Solution based on Machine Learning Applications in IOT and Edge Computing, International Journal of Pure and Applied Mathematics, ISSN: 1311-8080 (printed version) ISSN: 1314-3395 (on-line version) Jul 2018 issue.
  17. Dr. S. Mohan Kumar, Ashika.A, A Survey on Big Data Analysis, Approaches and its Applications in the real World, Journal of Emerging Technologies and Innovative Research, ISSN: 2349-5162, May 2018 , Volume 5, Issue 5, pp. no.: 93-100
  18. S Mohan Kumar & Dr. Balakrishnan, Statistical Features Based Classification of Micro calcification in Digital Mammogram using Stocastic Neighbour Embedding, International Journal of Advanced Information Science and Technology, 2012, ISSN:2319-2682 Volume 07, Issue 07 , November 2012, Page Numbers: 20-26
  19. S Mohan Kumar & Dr. Balakrishnan ,Breast Cancer Diagnostic system based on Discrete Wavelet Transformation and stochastic neighbour Embedding, European Journal of Scientific Research, 2012, ISSN:1450-216X ,Volume 87, Issue 03 , October 2012, Page Numbers: 301-310
  20. S Mohan Kumar & Dr. Balakrishnan, Classification of Microclacification in digital mammogram using SNE and KNN classifier, International Journal of Computer Applications - Conference Proceedings published in IJCA, 2013 ISBN: 973-93-80872-00-6, ICETT proceedings with IJCA on January 03,2013, Page Numbers: 05-09
  21. S Mohan Kumar & Dr. Balakrishnan, Mutiresolution analysis for mass classification in Digital Mammogram using SNE, IEEE international Conference- ICCSP-13 organized by Athiparasakthi Engineering College, Chennai , 2013, ISBN:978-1-4673-4864-5, Page Numbers: 2041-2045.
  22. S Mohan Kumar & Dr. Balakrishnan, Categorization of Benign And Malignant Digital Mammograms Using Mass Classification – SNE and DWT, Karpagam Journal of Computer Science, 2013, ISSN No: 0973-2926, Volume-07, Issue-04, June-July-2013, Numbers: 237-243.
  23. S Mohan Kumar & Dr. Balakrishnan, Classification of Micro Calcification And Categorization Of Breast Abnormalities - Benign and Malignant In Digital Mammograms Using SNE And DWT, Karpagam Journal of Computer Science 2013, ISSN No: 0973-2926, Volume-07, Issue-05, July-Aug, 2013. Page Numbers: 253 to 259
  24. S Mohan Kumar & Dr. Balakrishnan, The Performance Evaluation of the Breast Mass classification CAD System Based on DWT, SNE AND SVM , International Journal of Emerging Technology and Advanced Engineering, 2013, ISSN 2250–2459, Volume 3, Issue 10, October 2013, Page Numbers: 581-587
  25. S Mohan Kumar & Dr. Balakrishnan ,The Performance Evaluation of the Breast Microcalcification CAD System Based on DWT, SNE AND SVM, CiiT International Journal of Digital Image Processing, 2013, Print: ISSN 0974 – 9691 & Online: ISSN 0974 – 9586, Issue-November 2013, Page Numbers / DOI: DIP112013005.
  26. Anisha Rebinth & Dr. S. Mohan Kumar "A Deep Learning Approach to Computer Aided Glaucoma Diagnosis" at IEEE International Conference on recent Advances in Energy-efficient Computing and Computation at St. Xaviers Catholic College of Engineering, Nagercoil. on 7th and 8th March 2019 and was publised IEEE Xplore Paper doi: 10.1109/ICRAECC43874.2019.8994988.
  27. Anisha Rebinth & Dr. S. Mohan Kumar CAD Techniques in Automated Detection of Retinal Anamolies-A Comparative Study” presented in a National Conference on Robotics, Artificial Intelligence and Machine Learning conducted by the Computer Science Department of RVS Group of Institution , Dindugal, Tamilnadu, on 11th of October 2019.
  28. Anisha Rebinth & Dr. S. Mohan Kumar “Wavelet Packet Transform Based Image Classification For Computer Aided Glaucoma Diagnosis Using Naïve Bayes Classifier” accepted for Conference proceeding publication in the Information System Design and Intelligent Applications (INDIA-2019) -International Conference conducted by Department of Computer Science, Lendi Institute of Engineering and Technology on the 1st and 2nd of November 2019 .
  29. Anisha Rebinth & Dr. S. Mohan Kumar “Computer Aided Glaucoma Diagnosis Using Retinal Fundus Images By Deep Learning” Accepted for 4 International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques.(ICEECCOT-2019) Conducted by GSSSIETW,Mysuru on the 13th and 14th of December 2019.
  30. Anisha Rebinth & Dr. S. Mohan Kumar "Computer Aided Diagnostic Techniques in Automated Detection of Eye Related Diseases - A Comparative Study" presented at The International Conference on Innovative Research in Engineering ,Management and Sciences conducted by New Horizon College of Engineering and Technology held on 19th to 21st of December 2019.
  31. Anisha Rebinth & Dr. S. Mohan Kumar "Automated Detection of Retinal Anamolies Using Computer Aided Techniques - A Comparative Research" presented at the 1st International Conference on Emerging Trends and Challenges in Applied Science, Engineering and Technology conducted by Gopalan College of Engineering and Management held on 10th and 11th of March 2020.
  32. Darpan Majumder & Dr. S. Mohan Kumar , Review of Security Strategies used in Vehicular Adhoc Networks, International Conference on Innovative Research in Engineering, Management and Sciences ISBN : 978-93-5391-778-4, Page 138.
  33. Darpan Majumder & Dr. S. Mohan Kumar A Review of Black and Gray Hole Attacks in AODV published in First International Conference on Emerging Trends and Challenges in Applied Science, Engineering and Technology (ICECAET -2020)"Organizing by Gopalan College of Engineering and Management, on 10th and 11th , March, 2020.
  34. Darpan Majumder & Dr. S. Mohan Kumar “Edge Computing Applications on Vehicular Networks”, in the International Conference on Applied Innovative Research in Engineering, Science and Management (IC-IREASM-2019) conducted by Sree Dattha Institute of Engineering and Science, Telangana on the 15th and 16th of October 2019. International Journal Of Innovation In Engineering Research & Management ISSN: 2348-4918, VOL 6 Oct 2019
  35. Anisha Rebinth & Dr. S. Mohan Kumar “Glaucomatous Image Classification CAD System Using Adaptive Wavelets, Probabilistic PCA and Random Forest Techniques Machine Learning Model” International Journal Of Innovation In Engineering Research & Management ISSN: 2348-4918, VOL 6 Oct 2019.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2020-06-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vikas BO, Keerthi Shree V, " Best College Predictor for Higher Education to Students " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.786-791, May-June-2020.