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I want to make a project
student analysis system

It works as
Student will signin in the site and upload their academic detail including roll no. marks of all the semesters, and other academic details then It will give them analysis of their academic performance like what is his rank in his class, in the department, and in the whole College. It will also show that in which subject he was week, in which subjects in upcoming semester he have to work to secure good percentage and a graph of his performance till now and change in graph if he follow according to us. It will also show the placement probability.

Now my question is which tech stacks should I use to make all this?
I know HTML CSS JS JAVA CPP and a bit of REACT. Js EXPRESS. JS MYSQL.
I am ready to work with other tech stack also.

Comments
  • 5
    Wouldn't this just be a bunch of database queries with some basic frontend on top? Would your profs accept that as a final year project?

    In any case, literally any backend language and DB + literally any frontend framework/tech would do for this.
  • 2
    Agree with Remember, sounds like a simple CRUD app

    Will this be going into production?
  • 0
    @alexbrooklyn not really if accepted and works very well then
    I guess yes
  • 0
    @RememberMe I am thinking to add ML for analysis of subjects
  • 0
    @ankitbansal why would you use ML for this? And how, what dataset do you have and what analysis would you be doing?
  • 0
    @RememberMe as for analysis part I will see the previous marks they got in various subject
    Like some people are good in theory so they are most likely to perform good in theory subjects if some are good in data structure it is highly probable that they will be good in algorithm design and further we want to add graph showing their previous performance and the subject they can improve to get a good percentage(approx 75%).
    About ML actually i dont know if that can be possible as you are right we don't have any dataset.
  • 0
    @ankitbansal well the analysis bit still sounds quite basic to me, but anyway, your call.

    For ML, I feel your issue is not really datasets and methods. You're trying to use ML just because...ML. That never works, and a professor can easily tell when you've just added ML just for the sake of doing it (i.e. you'll get worse grades, if that's what you care about).
  • 0
    @RememberMe so you please suggest what kind of analysis I should include?
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