Student Score Prediction

Goal of the project

The goal of Student Score prediction project is to build a model that can accurately estimate a student score based on available data and features.along with creating a web app, is to provide users with a user-friendly interface where they can input their information and receive an estimate of their income.

Workflow

1. Creating Github Repo
2. Project Setup & Requirements.txt
3. Logging Excpetion & utils
4. Jupyter notebook Experiments
5. Data Ingestion
6. Data Transformation
7. Model Training
8. Training & Prediction Pipeline
9. Creating Web App using Flask

To access this project

Setup 1: Clone the repo

https://github.com/shailesh2210/Income-Prediction.git

Step 2- Create a conda environment after opening the repository

conda create -n pipeline_project python=3.11 -y

conda activate pipeline_project/

Step 3 - Install the requirements

pip install -r requirements.txt

Step 4 - Run the application server

python app.py

Now,

Open Up your local host and Port

Author

Shailesh Gaddam