Portfolio Repository

Welcome to my Portfolio Repository! This repository showcases my expertise in Machine Learning, Artificial Intelligence, and Data Science through a collection of curated projects and a professionally designed portfolio website. It is designed to provide an overview of my skills, experiences, and contributions to real-world AI solutions.

📂 Repository Structure

Portfolio/
├── PortfolioWebsite/                     # Hugo-based portfolio website
│   ├── archetypes/                       # Default archetypes for Hugo content
│   ├── content/                          # Markdown files for pages like landing page, resume, and projects
│   ├── static/                           # Static assets (images, CSS, JS, etc.)
│   ├── themes/                           # Custom Hugo themes (e.g., Adritian)
│   ├── config.toml                       # Hugo configuration file
│   ├── scripts/                          # Scripts for deployment or build automation
│   ├── README.md                         # Documentation for the portfolio website
│   └── public/                           # Generated static site output after running Hugo
│
├── projects/                             # Folder containing project implementations
│   ├── RetailDemandForecaster/           # Time-series forecasting project
│   │   ├── notebooks/                    # Jupyter notebooks for experiments
│   │   ├── src/                          # Python scripts and model code
│   │   ├── data/                         # Datasets or links to external datasets
│   │   └── README.md                     # Documentation for this project
│   ├── PredictiveMaintenanceSystem/      # Predictive maintenance solution
│   │   ├── notebooks/
│   │   ├── src/
│   │   ├── data/
│   │   └── README.md
│   └── EnterpriseKnowledgeSummarizer/    # Document summarization AI tool
│       ├── notebooks/
│       ├── src/
│       ├── data/
│       └── README.md
│
├── README.md                             # Global repository documentation
├── LICENSE                               # License for this repository
└── .gitignore                            # To ignore unnecessary files

🌐 Portfolio Website

The PortfolioWebsite is a Hugo-based static site that presents my work professionally and interactively. It includes:

• Landing Page: An overview of my professional journey and expertise.
• Resume Page: Detailed work experience, education, and technical skills.
• Projects Page: Highlights of my selected AI and data science projects.

---

Live Portfolio

Once deployed, my portfolio will be accessible at: [Your Portfolio URL] (Update with the actual link).

📊 Featured Projects

1. Retail Demand Forecaster

• Folder: projects/RetailDemandForecaster/
• Objective: Predict retail demand using time-series models to improve inventory management.
• Key Features:
  • Walmart Store Sales dataset
  • Streamlit-based dashboard for interactive analysis
  • Deployment-ready pre-trained models
• Tech Stack: Python, Scikit-learn, Streamlit, Plotly
• View Project README: Link to README

---

2. Predictive Maintenance System

• Folder: projects/PredictiveMaintenanceSystem/
• Objective: Predict equipment failures to minimize downtime and optimize maintenance.
• Key Features:
  • NASA Turbofan Engine Degradation dataset
  • REST API for real-time predictions
  • Feature importance analysis for interpretability
• Tech Stack: Python, Flask/FastAPI, PyTorch, Seaborn
• View Project README: Link to README

---

3. Enterprise Knowledge Summarizer

• Folder: projects/EnterpriseKnowledgeSummarizer/
• Objective: Summarize large documents for faster knowledge retrieval in enterprise settings.
• Key Features:
  • Fine-tuned Hugging Face transformer models
  • Interactive Streamlit/Gradio app for summarization
  • Support for large datasets like Wikipedia dumps
• Tech Stack: Python, Hugging Face, Streamlit/Gradio, PyTorch
• View Project README: Link to README

---

🚀 Getting Started

Clone the Repository

To clone this repository, use the following commands:

git clone https://github.com/Sharma-Pranav/Portfolio.git
cd Portfolio

Set Up an Environment

Create and activate a Conda environment for this portfolio:

conda create --name portfolio python=3.10 -y
conda activate portfolio

Install Dependencies

Each project folder contains a requirements.txt file. Navigate to the project directory and install dependencies using:

pip install -r requirements.txt

🔧 Technologies Used

Languages

• Python
• Markdown

Libraries/Frameworks

• Machine Learning: PyTorch, Scikit-learn, Hugging Face Transformers
• Data Visualization: Plotly, Seaborn
• Web Frameworks: Streamlit, Flask, FastAPI, Gradio

Tools

• Hugo
• Git
• Docker
• Conda

🤝 Contributing

Contributions are welcome! If you'd like to enhance this portfolio or collaborate on the projects:

1. Fork this repository.
2. Make your changes in a new branch.
3. Submit a pull request with a clear explanation of your changes.

📜 License

This repository is licensed under the MIT License. See the LICENSE file for more details.

📬 Contact

If you'd like to get in touch, feel free to connect:

• Email: topranav@outlook.com
• LinkedIn: https://www.linkedin.com/in/topranav/
• GitHub: Sharma-Pranav

---