IIT admission prediction

Keywords: IIT, admission

Background

The IIT data which is present with author is contain 2 lack data and 10 different information about a particular student. The data is all about to predict the IIT fees with respect to the course of a student taken. In the data there were no null values present and no duplicate information present in the dataset, and author seen the outliers present in the data so author got to know there are no outlier present in the data. The main aim of the project is to find the fees of the dataset according to the course of a student. So, for that author used an artificial neural network to get perfect accuracy and less error.

Aim & Objectives

Aim
To Predict the IIT admission Using DL Techniques
Objective
Utilize an ANN model to predict IIT admission outcomes, aiding applicants in making informed choices.
Develop an ANN system to analyze historical admission data, offering insights into acceptance probabilities.
Evaluate the ANN's accuracy in forecasting IIT admission results, providing valuable guidance to prospective students.

Research Methodology

ANN Technique used

Software & Tools

Jupyter, Google Collab

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