** Inspirations:**

We were inspired by the years we spent volunteering our time to environmental causes. For example, we helped to plant Indigenous medicine gardens and trees to help rebuild the growth of forests. We also love leaders in this field including David Suzuki and the show he hosts. He's been a major inspiration and influence for our project. In addition, after our geography course urban planning project, we were intrigued by the idea of walkable cities.

What it does:

Our goal is to design walkable cities. Our AI sustainable city planning software will create a city map that ensures residents are within 15 mins walking distance of everyday essentials.

Our software will suggest walk, bike and public transit routes. It may suggest choose subway, bus, dedicated bus lanes, or others.

The software scouts good locations for solar panels, wind turbines, hydro-electric dams, geothermal, etc. It aims to match energy production to the population’s energy demand.

It looks at the soil and location, and suggests areas for urban farms and beehives - possibly connected to schools. It recommends native, pollinator-friendly plants.

It's good to know where food comes from! The consumer-producer divide is real.

Accomplishments that we're proud of: We're proud of our efforts of working as a team and being able to plan out and set aside alotted time on getting the project done.

What we learned: We learning the skills gained from the past workshops we attended during the weekend. For example, we learnt about autocode technologies as well as natural language processing (AI). Finally, we were able to get a better understanding of sustainability by doing some research and, the learning process of planning and developing a project.

** Challenges ** One of the challenges was debugging the Autocode bot. We ran into the constant error of the channel id error.

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