ENGG-683 Term Project

A project on creating a new hypothetical venture and follow the entrepreneurial process.

About

In this project, we have created a startup called EyeSea Analytics. You can find more information about it in the project report.

Folder Structure

• Requirements - contains the project rubric and appendices
• Documents - contains the project report, presentation slides, and other documents
• Minimum_Viable_Product - contains the code for the MVP created
• Murals - contains the murals for Value Proposition, Business Model Canvas, and Lean Model Canvas

Minimum Viable Product

The MVP for EyeSea Analytics is deployed at https://www.eyesea.ml/. To access the sample reports in the MVP, you need to sign up for an account. You don't need to use your real details.

Running the MVP locally

If you want to run the MVP locally on your system, follow the below instructions.

1. Make sure you have the latest version of the node.js and npm installed.

2. Clone this repository on your machine

3. Run the below commands from Minimum_Viable_Product directory.

   $ npm install
   $ npm start

4. You can now launch your favorite browser and visit the URL http://localhost:3003.

Attribution for the MVP

• Logo from here
• Social Media illustration from here
• 404 illustration from here
• Access Denied illustration from here
• Arsha bootstrap theme from here

Contributors

• Allen Ndonwi Shu
• Bhavyai Gupta
• Drew Burritt
• Michael Man Yin Lee
• Thomas Scott