Tracks

  • i’m just a chill guy
  • best overall yay
  • most likely meme startup
  • (LAKOG) lowkey actually kind of good
  • (WPPOIL) would piss people off on linkedin
  • most iq points lost, skibidi ai swag
  • ciara cade best professional dev
  • wakaba prize
  • New Hacker (Actively participated to less than 5 hackathons :") )

Inspiration

Sigma cook: yap or cap? Nah, I’mma cap! When I browse social media, I often come across all kinds of brainrot trends—be it the Grimace Shake, Skibidi Sigma, or whatever’s trending next. I even use these terms with my friends, but sometimes there are just too many to remember. Honestly, it’s overwhelming.

On top of that, I tend to procrastinate a lot. Since I’m constantly using these buzzwords and feel like my browsing time needs some control, I thought of creating a tool that could monitor and manage my exposure to this ever-evolving digital lexicon.

What it does

  1. Tracking usage of viral internet slang in real-time
  2. Calculating an "aura score" based on slang usage patterns and time spent on socials.
  3. Providing gentle reminders to "Touch Grass" or be a "Chill Guy" after extended social media sessions
  4. Offering customizable time limits for social media browsing
  5. Suggest slangs when typing. Supporting dark/light themes for comfortable viewing

How we built it

Built using pure JavaScript, HTML and CSS:

  1. MutationObserver for dynamic content scanning
  2. Chrome Storage API for persistent data
  3. Custom regex patterns for slang detection
  4. CSS animations for smooth UI transitions
  5. Message passing between content scripts and popup

Challenges we ran into

  1. Handling dynamic content loading on social media platforms
  2. Balancing performance with real-time scanning
  3. Creating an engaging but non-intrusive UI
  4. Managing state across different browser contexts
  5. Detecting slang variations

Accomplishments that we're proud of

  1. Created an intuitive aura rating system
  2. Implemented smooth dark/white theme transitions
  3. Developed a flexible custom slang dictionary and time limit setting option
  4. Built responsive overlays with motivational messages

What we learned

  1. Browser API optimization
  2. State management across contexts
  3. Regular expression optimization
  4. UX design for browser extensions

What's next for Neurot

  1. Machine learning for better slang detection
  2. Customizable notification styles
  3. Time tracking analytics
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