add about.md for CV Zebrafish project

docs/projects/cv_zebrafish/README.md

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+# CV Zebrafish
+
+## Overview
+
+The CV Zebrafish project aims to develop an interactive, user-friendly software tool to track and analyze zebrafish body parts and movements from high-resolution, high-speed imaging data. It will integrate with machine learning outputs like DeepLabCut to process large datasets and generate detailed metrics, including speed, fin angles, movement timing, phase synchronization, and behavior classification. The modular design will make it adaptable for researchers at SLU and beyond, supporting diverse movement analysis and visualization needs in aquatic behavioral studies
+
+The project is part of the [Saint Louis University Open Source Software (OSS)](https://github.com/oss-slu) initiative and is being developed in collaboration with Mohini Sengupta, Ph.D.
+
+---
+
+## Features
+
+<!-- - **Automated Zebrafish Tracking** – Detect and track single or multiple zebrafish in video recordings.
+- **Behavioral Analysis** – Extract metrics such as swimming speed, direction changes, and grouping behavior.
+- **Multi-Fish Support** – Accurate tracking even in group settings.
+- **Data Visualization** – Generate plots and charts for movement patterns.
+- **Exportable Results** – Save analysis outputs in CSV/JSON formats for further research.
+- **Modular Design** – Extend functionality with custom behavioral metrics or machine learning models. -->
+
+---
+
+## Tech Stack
+
+- **Programming Language:** Python
+- **Core Libraries:** OpenCV, NumPy, Pandas, Matplotlib
+- **Machine Learning Frameworks:** PyTorch / TensorFlow (planned)
+- **Web Interface (optional):** Flask / React
+- **Version Control:** Git & GitHub
+
+---
+
+## Getting Started
+
+### Prerequisites
+- Python 3.9+
+- pip package manager
+- Git
+
+### Installation
+```bash
+# Clone the repository
+git clone https://github.com/oss-slu/cv_zebrafish.git
+cd cv_zebrafish
+
+# Create a virtual environment (optional but recommended)
+python -m venv venv
+source venv/bin/activate   # Linux/Mac
+venv\Scripts\activate      # Windows
+
+# Install dependencies
+pip install -r requirements.txt

docs/projects/cv_zebrafish/about.md

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+---
+id: about
+title: CV Zebrafish
+custom_edit_url: null
+---
+
+<!-- Optional header image -->
+<!-- ![Header Alt Text](header.png) -->
+
+## Overview
+
+The CV Zebrafish project aims to develop an interactive, user-friendly software tool to track and analyze zebrafish body parts and movements from high-resolution, high-speed imaging data. It will integrate with machine learning outputs like DeepLabCut to process large datasets and generate detailed metrics, including speed, fin angles, movement timing, phase synchronization, and behavior classification. The modular design will make it adaptable for researchers at SLU and beyond, supporting diverse movement analysis and visualization needs in aquatic behavioral studies.
+
+### Information
+
+- **Source Code:** [https://github.com/oss-slu/cv_zebrafish](https://github.com/oss-slu/cv_zebrafish) [<img src="/img/git-alt.svg" alt="git" width="25" height="25" />](https://github.com/oss-slu/cv_zebrafish)
+- **Client:** Mohini Sengupta, Ph.D.
+- **Current Tech Lead:** Shahid Malik [<img src="/img/github.svg" alt="github" width="25" height="25" />](https://github.com/Shahid1Malik)  
+- **Developers:**
+  - [Developer 1 Name] [<img src="/img/github.svg" alt="github" width="25" height="25" />](https://github.com/USERNAME) [<img src="/img/linkedin.svg" alt="linkedin" width="25" height="25" />](https://www.linkedin.com/in/USERNAME/)
+  - [Developer 2 Name] [<img src="/img/github.svg" alt="github" width="25" height="25" />](https://github.com/USERNAME) [<img src="/img/linkedin.svg" alt="linkedin" width="25" height="25" />](https://www.linkedin.com/in/USERNAME/)
+- **Start Date:** Aug, 2025
+- **Technologies Used:**
+  - Python (OpenCV, NumPy, Pandas)
+  - Flask / React (for web interface, if applicable)
+  - Machine Learning frameworks (e.g., PyTorch or TensorFlow)
+- **Type:** Computer Vision Application
+- **License:** MIT (https://opensource.org/license/mit)
+
+## Technical Information
+
+### Development Priorities
+
+#### Zebrafish Tracking and Analysis
+
+<!-- - **From Manual Observation to Automated Analysis:** The current zebrafish tracking process often involves manual observation or semi-automated tools. This project will replace these with a fully automated, computer vision–driven system.
+
+- **Features of the Planned CV Zebrafish Tool:**  
+  Includes motion tracking, behavioral pattern recognition, and data visualization to help researchers quantify zebrafish activity.
+
+Key planned features include:   -->
+
+<!-- - **Automated Tracking:**
+  Detect and track individual zebrafish in video recordings with high accuracy.
+
+- **Behavior Analysis:**
+  Identify and log patterns such as swimming speed, direction changes, grouping behavior, and inactivity.
+
+- **Data Visualization & Export:**
+  Provide visual plots and allow exporting metrics for further statistical analysis.
+
+- **Multi-Fish Support:**
+  Handle scenarios with multiple zebrafish in the same tank without losing tracking accuracy.
+
+- **User-Friendly Interface:**
+  Clean, intuitive controls for loading videos, starting analysis, and reviewing results.
+
+- **Adaptable for Research Needs:**
+  Modular design to allow additional behavioral metrics or machine learning models. -->
+
+## Get Involved
+
+If you would like to contribute to this project, please visit our [GitHub page](https://github.com/oss-slu/cv_zebrafish) to create issues or pull requests.