Department Recommender System is basically for the university makes easiness for the students on the time of selection in university. The department Recommender System will suggest the students inside the interview hall about their best choice according to their basic records and interests of
Department Recommender System
Department Recommender System is basically for the university makes easiness for the students on the time of selection in university.
The department Recommender System will suggest the students inside the interview hall about their best choice according to their basic records and interests of fields, and our system will suggest them according to their dirstict vise quota and on behalf of their previous marks and obtained marks in the entrance test of the university.
The department Recommender System is basically for consuming less time and making choices more easy for the students in interview hall.
Our system will focous on the test score of the students that in which subject they have secured more and less marks in the entrance test.
On the behalf of the entrance test and putting onwards number of seats per district/Province.
Our system will outomatically suggest a few departments/fields according to their marks in which they have more marks in their entry test in any subject.
The department Recommender System is a web application which will be using javascript,html,css, bootstrap, jQuery,react J's, Express J's, Node J's and mongo db for Data. This web application will be built either using Full stack or python.
We can also use just java in this project but java frameworks are a little bit complex instead of python or stacks.
The department Recommender System will be benifitial for the students and also for the faculty.
As I mentioned above will save time,will suggest a few departments automatically which will help the students to choose accurate and exact department in very less time.
The Seats per Province or district will be given accurately to the students who are better for them.
Every year seats are not filled or in some districts seats are been filled and doesn't remain for other students too so the university have to take seats on finance or overseas from the district whose seats are reaming to whose seats are not reaming.
This issue will be solved if the university apply our department Recommender System.
As I mentioned that this system is going to be a web application and as I said that if we use java it's website hosting is much more expensive than using python and the best in my eyes is using stacks.
The full stack developer can perform all the web app work at same time instead of using java and asking for frontend backend designing development and testing.
so we will try to do this project using mean and mern stack.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Designing | Equipment | 2 | 5000 | 10000 |
| Development | Equipment | 2 | 5000 | 10000 |
| Testing | Equipment | 1 | 5000 | 5000 |
| Frontend | Equipment | 1 | 6000 | 6000 |
| Backend | Equipment | 1 | 10000 | 10000 |
| Final report | Equipment | 1 | 4000 | 4000 |
| Total in (Rs) | 45000 |
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