https://github.com/ronakbediya310/campus-placement-project
This Flask web application leverages machine learning models to predict campus placements based on user-provided input. It provides an intuitive and user-friendly interface for users to input relevant features, such as academic performance, gender, work experience, and more. The application then processes these inputs through a trained algorithms
https://github.com/ronakbediya310/campus-placement-project
flask machine-learning numpy pandas python3 sklearn webapp
Last synced: 4 months ago
JSON representation
This Flask web application leverages machine learning models to predict campus placements based on user-provided input. It provides an intuitive and user-friendly interface for users to input relevant features, such as academic performance, gender, work experience, and more. The application then processes these inputs through a trained algorithms
- Host: GitHub
- URL: https://github.com/ronakbediya310/campus-placement-project
- Owner: ronakbediya310
- Created: 2024-02-07T12:29:20.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-25T07:08:54.000Z (over 2 years ago)
- Last Synced: 2024-02-25T15:46:07.132Z (over 2 years ago)
- Topics: flask, machine-learning, numpy, pandas, python3, sklearn, webapp
- Language: Jupyter Notebook
- Homepage:
- Size: 2.22 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Campus Placement Prediction Web App
## Overview
This Flask web application leverages machine learning models to predict campus placements based on user-provided input. It provides an intuitive and user-friendly interface for users to input relevant features, such as academic performance, gender, work experience, and more. The application then processes these inputs through a trained machine learning model to generate predictions regarding the likelihood of placement.
## Features
- Predict campus placements using a machine learning model.
- User-friendly interface for inputting details.
- Responsive design for a seamless user experience.
## Getting Started
### Prerequisites
- Python 3.x
### Installation
1. **Clone the repository:**
git clone https://github.com/ronakbediya310/Campus-Placement-Project.git
2. **Change into the project directory:**
cd campus-placement-prediction
3. **install dependencies**
pip install -r rquirements.txr
4. **Run flask app:**
python app.py
5. **Open your browser and navigate to http://localhost:5000.**
**Usage:**
Enter the required details in the prediction form.
Click the "Predict" button.
View the prediction result.
***Training Pipeline:***
Explain how to train machine learning models using the provided training pipeline.
***Prediction Pipeline:***
Detail how to make predictions using the prediction pipeline.
***Exception Handling***
Describe the custom exception handling implemented in the project.
***Logging:***
Explain how logging is implemented in the project and where log files can be found.
## Folder Structure:
## Implementation:
**result page**
## Author:Ronak Bediya