ResAuto is a web application that allows users to generate a professional profile based on their resume. It extracts relevant information from the resume, such as the candidate's name, contact information, education, work experience, and skills, and presents it in a user-friendly format.
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Resume Information Extraction: ResAuto utilizes the PyPDF2 library to extract text from uploaded PDF resumes. It parses the text to extract key details, including the candidate's name, email, phone number, education, work experience, and skills.
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User Input Form: The application provides a user-friendly form for users to manually input their information, including name, email, phone number, education, work experience, and skills.
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Dashboard: Once the user submits their information, ResAuto presents a dashboard that displays the extracted resume details or the user-submitted information in an organized manner.
To run the ResAuto application locally, follow these steps:
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Clone the repository:
git clone https://github.com/keshav1sharma/https://github.com/keshav1sharma/ResAuto.git
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Navigate to the project directory:
cd https://github.com/keshav1sharma/ResAuto
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Install the required dependencies:
pip install -r requirements.txt
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Run the application:
python manage.py runserver
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Access the application in your web browser at
http://localhost:8000
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Upload a Resume: On the homepage, you can upload your resume in PDF format. https://github.com/keshav1sharma/ResAuto will extract the necessary details from the resume.
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Fill in the Form: Alternatively, you can fill in the provided form fields with your personal information, including name, email, phone number, education, work experience, and skills.
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View the Dashboard: After submitting your information, you will be redirected to the dashboard. It will display the extracted resume details or the information you provided in an organized manner.
- Python
- Django
- PyPDF2
Contributions to https://github.com/keshav1sharma/ResAuto are welcome! If you have any ideas, improvements, or bug fixes, feel free to open an issue or submit a pull request.
https://github.com/keshav1sharma/ResAuto is released under the MIT License.