Add an ML Algorithm for classification of the admission data

[Sohammhatre10]

Requirements are -

1. Create an ML Algorithm using Scikit-learn , Tensorflow or PyTorch for the classification of the scrapped admission data.
2. Provide users with predictive analysis of admissions in his/her desired field.
3. You may use Regression algorithms on Kaggle or Huggingface for the same if necessary.

[abhirajadhikary06]

If we could take the instantly generated csv files and create a prediction and an analysis chat out of those and display it on the web application.

[Ncode-93]

Hey @Sohammhatre10 I can work on this issue.

[Sohammhatre10]

Will assign you both @abhirajadhikary06 and @Ncode-93 this.

[abhirajadhikary06]

Thanks for assignig, Working to bring these feature live 👍

[pokymono]

I would like to contribute to this issue, pls assign me

[Ncode-93]

Thanks @Sohammhatre10 for assigning this issue

[Sohammhatre10]

@Ncode-93 @Rishitshivam @abhirajadhikary06 @Ankitv003 Any updates?

[pokymono]

I'll update you on this issue by tonight

[pokymono]

Hey, I have a quick question. What input should we collect from users for prediction and analysis? Should we include details like exam type, gender, name, rank, and preferred program? Also, what exactly should our predictive analysis focus on? Should we predict the number of colleges they could be eligible for or the specific branches they might qualify for?

[abhirajadhikary06]

Hey, I have a quick question. What input should we collect from users for prediction and analysis? Should we include details like exam type, gender, name, rank, and preferred program? Also, what exactly should our predictive analysis focus on? Should we predict the number of colleges they could be eligible for or the specific branches they might qualify for?

From my P.O.V students predict college on their expected rank , So ask for the rank and using predictive analysis output the college they may get

[Sohammhatre10]

Hey, I have a quick question. What input should we collect from users for prediction and analysis? Should we include details like exam type, gender, name, rank, and preferred program? Also, what exactly should our predictive analysis focus on? Should we predict the number of colleges they could be eligible for or the specific branches they might qualify for?

From my P.O.V students predict college on their expected rank , So ask for the rank and using predictive analysis output the college they may get

@Rishitshivam @abhirajadhikary06 non inclusion of additional features like gender caste may hamper the accuracy so using the entire dataset as a context is necessary.