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https://github.com/manas1331/portfolio-website
This is my portfolio website built using streamlit(python framework) with home, about & contact,resume,chatbot and projects sections.
https://github.com/manas1331/portfolio-website
portfolio-website python3 streamlit website
Last synced: about 1 month ago
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This is my portfolio website built using streamlit(python framework) with home, about & contact,resume,chatbot and projects sections.
- Host: GitHub
- URL: https://github.com/manas1331/portfolio-website
- Owner: manas1331
- License: mit
- Created: 2024-09-03T05:38:44.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-11-12T14:10:03.000Z (about 2 months ago)
- Last Synced: 2024-11-12T14:37:01.006Z (about 2 months ago)
- Topics: portfolio-website, python3, streamlit, website
- Language: Python
- Homepage: https://portfolio-website-27ajht7cmlkn56ypkf4pca.streamlit.app/
- Size: 25.9 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# My Portfolio Website
Welcome to my portfolio website, a comprehensive showcase of my projects, skills, and professional journey. This site is built using **Streamlit**, offering an interactive and user-friendly experience. Explore the various sections to learn more about my work and how to get in touch.
## View the live website
Click the link to view the website
[(Website Link)](https://portfolio-website-27ajht7cmlkn56ypkf4pca.streamlit.app/)
## 🏠 Home
The Home section gives you a brief overview of the website, highlighting key areas such as my latest projects and professional background. It's your starting point to navigate through my portfolio.
## 👤 About & Contact
In the About & Contact section, you'll find a detailed introduction about who I am, my professional experience, and my skills. You'll also find various ways to get in touch with me, whether through email, LinkedIn, or other platforms.
## 📄 Resume
Here, you can view or download my resume, which outlines my education, work experience, certifications, and skills. It’s a concise summary of my professional qualifications and achievements.
## 🤖 Chatbot
The Chatbot section features a custom-built chatbot developed using Streamlit. This chatbot is designed to assist with queries and guide you through the website. Whether you need information about my projects or want to know more about my professional background, the chatbot is here to help.
## 💻 Projects
The Projects section showcases my work, including both personal and professional projects. Each project is displayed with a brief description, a screenshot, and a link to its GitHub repository. This section is designed to highlight my technical skills and the diverse range of projects I've worked on.
## 🤝 Contribution
Feel free to contribute to this project by submitting issues, feature requests, or pull requests. Please adhere to the project's coding standards and include tests for any new features.Please ensure that your contributions align with the goals of the portfolio and maintain the coding standards outlined in the repository.
### How to Contribute
1. Fork the repository.
2. Create a new branch (`git checkout -b feature/YourFeature`).
3. Make your changes and commit them (`git commit -m 'Add some feature'`).
4. Push to the branch (`git push origin feature/YourFeature`).
5. Open a pull request.
Please review the [Contributing Guidelines](CONTRIBUTING.md) for more details.
## 📜 License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.
## 🛠️ Requirements
To run this project locally, you'll need:
- Python 3.7 or later
- Streamlit
- Other dependencies listed in the `requirements.txt` file
## 📥 Installation
1. **Clone the Repository**:
```bash
git clone https://github.com/your-github-username/portfolio-website.git
cd portfolio-website
2. **Install Dependencies**:
```bash
pip install -r requirements.txt
4. **Setup and Configuration**:
- Configure any necessary API keys or environment variables.
- Adjust any settings for data sources and model parameters.
4. **Run the Web Application**:
```bash
streamlit run streamlit_app.py
5. **Usage**:
- Navigate to http://localhost:5000 (or the specified port) to access the web application.
- Input stock ticker symbols and view predictions and visualizations.
## 💬 Feedback
Your feedback is valuable! If you have any suggestions, feature requests, or bug reports, please open an issue on GitHub or contact me directly through the Contact section.