Hope.AI

Inspiration

Current data systems are too slow and lack the privacy needed to solve massive global issues. We were inspired to build a decentralised, AI-driven platform to accelerate progress toward the UNSDGs by 2030.

What it does

2030 Vision: Our mission is an interactive web dashboard visualising AI solutions for three critical goals: Goal 3 (Health): Federated Learning for predicting disease without compromising patient privacy. Goal 6 (Water): CNN acoustic sensors that "listen" for underground water leaks. Goal 14 (Oceans): Sea gliders using Computer Vision and hydrophones to catch illegal fishing.

Hope AI: A built-in chatbot that answers global data questions in real-time.

How we built it

A fully responsive frontend (HTML5, CSS3, Vanilla JS) powered by a Python Flask backend. We also built a custom JS database.

Challenges we ran into

Includes tedious fixing of many lines in our code, brainstorming solutions for each SDG, implementing the AI into our website (first time doing it)

Accomplishments that we're proud of

As two-year 10's, we are proud of our determination and effort placed into this competition. Even if we don't win any prizes, the experience and the things that we learnt will always be the most memorable.

What we learned

Integration of AI Every single SDG goal in detail Teamwork is not always easy The ability to focus

What's next for Hope.AI

Expanding our website to address every single goal, building a new page on Q and A for interaction, and allowing users to give feedback on the site itself.