Navigate Your Career Path with Precision: Let AI Guide Your Next Move!
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My Project is a cutting-edge web application that utilizes Artificial Neural Networks (ANN) to predict job placement outcomes with remarkable accuracy. By analyzing key factors such as academic performance, internship experiences, and backlogs.
With a staggering 94% accuracy rate, My Project empowers users to make informed decisions about their professional journey. Whether you're a recent graduate exploring opportunities or a seasoned professional seeking advancement, our platform guides you towards placement success.
- Frontend: Flask, HTML, CSS
- Machine Learning: scikit-learn (for the ANN algorithm)
- Data Serialization: Pickle
- Scientific Computing: NumPy
To start the project, clone the repository, install dependencies using pip install -r requirements.txt, then run the Flask app with python app.py. Access the app in your browser at http://localhost:5000, input the parameters, and click 'Submit' to classify whether you are placed or not
- Flask
- Numpy
- Scikit Learn
Setting Up Your Project Locally
To get a local copy up and running, follow these simple steps:
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Clone the Repository:
git clone https://github.com/admin-sauce/Job-Prediction-using-ML-Web-App.git
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Navigate to the Project Directory:
cd Job-Prediction-using-ML-Web-App
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Install Dependencies:
pip install -r requirements.txt
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Run the Flask App:
python app.py
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Access the Web Application: Open your web browser and go to
http://localhost:5000
orhttp://127.0.0.1:5000
to access the application -
Input Parameters: Enter the parameters asked
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Predict Water Potability: Click the 'Submit' button to classify whether you are placed or not
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View Results: The application will display a message indicating the placement result
Distributed under the GNU General Public License v3.0 License. See LICENSE for more information.