Poseidon

Fostering online safety through social sustainability, focusing on trust, respect, and detecting new scams and harmful memes. Addressing the critical need for robust governance in tech-savvy nations.

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🚀 Inspiration

Remember the Lee Hsien Loong deep fake incident? 😱 That’s just one example of the huge problem we’re tackling: online trust and safety. In tech-savvy places like Singapore, where internet use is sky-high 🌐, ensuring strong online security is a must! But it's not just about protecting people from hackers—it's about keeping the digital space safe, clean, and trustworthy.

We already have some cool initiatives, like:

  • 🛡️ Online Safety (Miscellaneous Amendments) Act: Strengthens the rules for keeping the online world safe!
  • 🖥️ Centre for Advanced Technologies in Online Safety (CATOS): Building awesome tools to detect harmful online content.

But, let’s be real—new scams are popping up faster than we can say “deep fake” 😜. Even with these measures, detecting harmful content is still a huge challenge. That’s where we come in! Our mission is all about making the web a safer place by tackling cybersecurity threats, wiping out harmful content, and stopping the spread of misinformation. We also focus on social sustainability—making sure the internet is a welcoming space for everyone. 🌍💪

We’re inspired by the UNSDG 11 (Sustainable Cities) and UNSDG 16 (Peace & Justice) to make online spaces safer, fairer, and more inclusive. Let’s make the web a place where everyone feels safe and empowered! 🌟

🤖 What it does

We built something cool, here’s what it does:

  • Detects harmful memes 🤡: No more spreading toxic memes!
  • Detects fake news 📰: Flag the fake, support the real, and let users make informed decisions!
  • Detects deep fakes 🤥: Keep people safe from digital scams and impersonation.
  • Focuses on social sustainability 🌱: Because the digital world needs to be healthy, too!
  • Fosters a positive online environment ✨: Everyone should feel respected, protected, and empowered in online spaces.

💻 How we built it

  • Backend: Powered by Python 🐍 (because it’s awesome at deep learning)!
  • Frontend: Crafted with TypeScript, HTML, JavaScript, and CSS 🎨 (it’s like digital art)!
  • Deep learning models: Built and trained using Google Colab 🧠 to make our predictions smart and fast!

🛠️ Challenges

  • Learning TypeScript: Not gonna lie, we had a little struggle bus moment 🚍, but we got there in the end! 😅
  • Integrating the models: Getting the deep learning models to talk nicely with the front-end was tricky, but teamwork made the dream work! 🤝

🎉 Accomplishments

  • 24 hours 🕐 to get this awesome project live! Talk about a power team! ⚡
  • Overcame the TypeScript challenge and now we’re TypeScript pros 💻💡.
  • Launched a working product that detects harmful content—go team! 🎯

📚 What we learned

  • Deep learning: We learned how to teach machines to see and understand text and images 🧠👀.
  • TypeScript: It was a new skill, but now we can code like pros in it! 😎
  • Teamwork: We learned that we can totally rock it when we stick together! 💪

🚀 What's next for Poseidon

  • Trend analysis dashboards 📊: Let’s analyze the crazy trends in harmful content and keep track of what’s going on!
  • Model updates 🔄: We’ll keep our models sharp and always ready for new threats!
  • Data storage 💾: We’re adding a cool database so we can store, analyze, and improve our models constantly!
  • User engagement 🌐: Adding features to let users contribute to a safer digital space—because together, we’re stronger! 💥

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