OS-Analytics

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We provide solutions for developers to ship out websites to clients with dashboards that contain information about micro-interactions (user clicks and mouse movement) on their websites. Team members: Peter Larcheveque, Eric DiMarzio, David Naymon, Saw Naing

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# OS Analytics

**OS Analytics** is a powerful and easy-to-use tool designed to monitor user interactions on websites. By integrating a custom `clickTracker` hook, developers can capture and visualize user activity data in real-time. This data helps developers better understand user behavior, optimize their apps, and make informed decisions based on analytics. With a robust dashboard that filters and exports data, you can track, manage, and visualize user interactions effectively.

## ReadME For Incorporating AI
Please read the [README](README_AWS.md) for detailed instructions on incorporating AWS Bedrock into your dashboard.

## 🛠️ Tech Stack

![React](https://img.shields.io/badge/React-20232A?style=for-the-badge&logo=react&logoColor=61DAFB)
![JavaScript](https://img.shields.io/badge/JavaScript-F7DF1E?style=for-the-badge&logo=javascript&logoColor=black)
![TypeScript](https://img.shields.io/badge/TypeScript-007ACC?style=for-the-badge&logo=typescript&logoColor=white)
![Node.js](https://img.shields.io/badge/Node.js-339933?style=for-the-badge&logo=nodedotjs&logoColor=white)
![Express.js](https://img.shields.io/badge/Express.js-404D59?style=for-the-badge)
![AWS](https://img.shields.io/badge/AWS-FF9900?style=for-the-badge&logo=amazonaws&logoColor=white)
![MUI](https://img.shields.io/badge/MUI-007FFF?style=for-the-badge&logo=mui&logoColor=white)
![Chart.js](https://img.shields.io/badge/Chart.js-FF6384?style=for-the-badge&logo=chartdotjs&logoColor=white)
![React Flow](https://img.shields.io/badge/ReactFlow-0077b5?style=for-the-badge&logo=reactflow&logoColor=white)
![AWS Bedrock](https://img.shields.io/badge/AWS%20Bedrock-FF9900?style=for-the-badge&logo=amazonaws&logoColor=white)
![AWS Cognito](https://img.shields.io/badge/AWS%20Cognito-FF4F8B?style=for-the-badge&logo=amazonaws&logoColor=white)
![JWT](https://img.shields.io/badge/JWT-000000?style=for-the-badge&logo=jsonwebtokens&logoColor=white)
![PostgreSQL](https://img.shields.io/badge/PostgreSQL-336791?style=for-the-badge&logo=postgresql&logoColor=white)
![Crypto](https://img.shields.io/badge/Crypto-333333?style=for-the-badge&logo=bitcoin&logoColor=white)
![Jotai](https://img.shields.io/badge/Jotai-000000?style=for-the-badge&logo=jotai&logoColor=white)
![CSS](https://img.shields.io/badge/CSS-1572B6?style=for-the-badge&logo=css3&logoColor=white)
![Passport](https://img.shields.io/badge/Passport-34E27A?style=for-the-badge&logo=passport&logoColor=white)
![Google OAuth](https://img.shields.io/badge/Google%20OAuth-4285F4?style=for-the-badge&logo=google&logoColor=white)
![Dagre (React Flow)](https://img.shields.io/badge/Dagre-0077b5?style=for-the-badge&logo=reactflow&logoColor=white)
![HTML to Image](https://img.shields.io/badge/HTML%20to%20Image-E34F26?style=for-the-badge&logo=html5&logoColor=white)
![UUID](https://img.shields.io/badge/UUID-0077b5?style=for-the-badge&logo=uuid&logoColor=white)
![Vite](https://img.shields.io/badge/Vite-646CFF?style=for-the-badge&logo=vite&logoColor=white)
![GitHub](https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github&logoColor=white)
![Axios](https://img.shields.io/badge/Axios-5A29E4?style=for-the-badge&logo=axios&logoColor=white)
![Puppeteer](https://img.shields.io/badge/Puppeteer-40B5A4?style=for-the-badge&logo=puppeteer&logoColor=white)
![Framer Motion](https://img.shields.io/badge/Framer--Motion-0055FF?style=for-the-badge&logo=framer&logoColor=white)

</div>

# What we offer

| Feature                                                                                                                                | Status    |
|----------------------------------------------------------------------------------------------------------------------------------------|-----------|
| Integration of `clickTracker` hook to monitor user clicks and interactions                                                              | ✅        |
| Real-time data collection and visualization in the OS Analytics dashboard                                                               | ✅        |
| Filters and export functionality added to the dashboard for reporting and the ability to drill down into specific user interactions and activities based on detailed, custom metrics for enhanced analysis capabilities | ✅        |
| Secure data tracking using JWT authentication                                                                                           | ✅        |
| Ability to configure multiple websites for tracking in the dashboard                                                                    | ✅        |
| Implemented AWS Bedrock for generating user activity reports                                                                            | ✅        |
| Fully documented API for developers to integrate and manage the tracking tool                                                           | ✅        |
</div>

## Key Features

### Dashboard Overview
The dashboard provides a clear and intuitive layout for monitoring click analysis data, with charts and metrics that track user interactions and website performance over time.

![dashboard-one](https://github.com/user-attachments/assets/369f8d06-1ad9-4008-9d0f-2b7f730ef8e8)

### AI-Generated Reports
This feature allows users to generate and save AI-driven reports that provide detailed insights and actionable recommendations based on the collected click data.

![dashboard-Ai](https://github.com/user-attachments/assets/adbcfff2-96e8-43e5-a6f0-4445c46ea403)

### Heatmap Visualization
This heatmap visualizes click data by overlaying signatures on a website, highlighting areas of high activity and helping identify key user behavior patterns.

![Heatmap](https://github.com/user-attachments/assets/676dcb5e-fd77-4218-a228-de4fbebbbff4)

### Click Data Playground
The React Flow playground provides a tree diagram and frequency chart to visualize click data, allowing users to easily identify where clicks occurred most frequently on their site.

![Playground](https://github.com/user-attachments/assets/3493efe0-b04d-430a-ac27-bf0d8247de9e)

### Securing Your Credentials
Your AWS credentials are securely stored in our database using encryption, ensuring they remain protected and accessible only to you.

## Getting Started

1. To get started, visit [os-analytics](http://os-analytics.com.s3-website-us-west-1.amazonaws.com/) and create an account. After account creation, you will be directed to an onboarding page which will guide you through the steps below.

2. Install the OS Analytics package in your React application:

NPM install `os-analytics`:
    ```bash
    npm install os-analytics
    ```

3. Integrate the `clickTracker` hook into your application:

Import `clickTracker` in your main React component:
    ```javascript
    import clickTracker from 'os-analytics';
    ```

Initialize the tracker with your API key and website at the top level (App):
    ```javascript
    const apiKey = '<your-api-key>';
    const website = '<your-website-url>';

clickTracker(apiKey, website); // Start tracking clicks and interactions
    ```

4. Run your application:

Once you've integrated the `clickTracker` and set up the environment variables, run your application as usual. The `clickTracker` will automatically start tracking user interactions on your website.

5. View Tracked Metrics:

After interacting with your website, visit your [OS Analytics Dashboard](https://github.com/oslabs-beta/ActivityTracker.io/tree/main) to view the tracked metrics in real-time. You can filter, analyze, and export the data as needed.

## Tracked Metrics

- Click events
- Referrer events
- Page views per website
- Website views per account
- Heatmap
- Other event tracking: OS/Browsers

## The team

<table>
  <tr>
    <td style="text-align: center; padding: 20px;">
      <img src="https://drive.google.com/uc?export=view&id=1Kf6Uag0fScIaDLS84ocOE29oVLq1Lwhf" alt="Eric" width="120" style="border-radius: 50%;">
      <h3>Eric DiMarzio</h3>
      <a href="https://github.com/EricDiMarzio" style="text-decoration: none;">GitHub</a> |
      <a href="https://www.linkedin.com/in/ericdimarzio/" style="text-decoration: none;">LinkedIn</a>
    </td>

<td style="text-align: center; padding: 20px;">
      <img src="https://drive.google.com/uc?export=view&id=1LVf_oNtekR2RuN7rp3LshK1MpYt1ghzp" alt="Peter" width="120" style="border-radius: 50%;">
      <h3>Peter Larcheveque</h3>
      <a href="https://github.com/plarchev" style="text-decoration: none;">GitHub</a> |
      <a href="https://linkedin.com/in/peter-larcheveque/" style="text-decoration: none;">LinkedIn</a>
    </td>

<td style="text-align: center; padding: 20px;">
      <img src="https://drive.google.com/uc?export=view&id=1UVlPPUCFdOW-2dhitZutYzDzXTP-PXor" alt="David" width="120" style="border-radius: 50%;">
      <h3>David Naymon</h3>
      <a href="https://github.com/DavidN22" style="text-decoration: none;">GitHub</a> |
      <a href="https://www.linkedin.com/in/david-naymon-76520018a/" style="text-decoration: none;">LinkedIn</a>
    </td>

<td style="text-align: center; padding: 20px;">
      <img src="https://drive.google.com/uc?export=view&id=1ziFJVuFL8lGfprFXq5SxgDLyKwrSOxz6" alt="Saw" width="120" style="border-radius: 50%;">
      <h3>Saw Yan Naing</h3>
      <a href="https://github.com/willsyn7" style="text-decoration: none;">GitHub</a> |
      <a href="https://www.linkedin.com/in/saw-naing/" style="text-decoration: none;">LinkedIn</a>
    </td>
  </tr>
</table>

</div>

##

OS-Analytics

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