AkiliQuest

🌟 Inspiration

AkiliQuest was born from a simple, powerful question: What if learning felt more like an adventure than an assignment?
I wanted to reimagine how people explore knowledge—whether by diving deeper into a single topic or making surprising connections across fields. Inspired by the limitless potential of AI and the power of curiosity, I envisioned a tool that sparks intellectual discovery and gamifies the learning journey.

🔍 What it does

AkiliQuest is an AI-powered curiosity platform that allows users to:

• Input any topic and explore a branching "Chain of Curiosity" through related subtopics.
• Generate real-time AI summaries using Google Cloud’s Vertex AI.
• Visualize their learning path as a dynamic “Curiosity Map.”
• Gamify their journey with curiosity scores and progress tracking.
• Share their unique curiosity trails with friends and the world.

Whether you're a student, researcher, or lifelong learner, AkiliQuest makes learning engaging, interdisciplinary, and deeply personalized.

🛠️ How I built it

I built AkiliQuest using:

• Frontend: Next.js 15, TypeScript, TailwindCSS, and ShadCN UI for accessible components.
• AI Integration: Google Cloud Vertex AI for generating intelligent content summaries and topic connections.
• Database: MongoDB Atlas with Vector Search to store and retrieve semantically related knowledge paths.
• Deployment: Hosted on Google Cloud Platform using Cloud Run, Firebase Hosting, and Firestore for lightweight state syncing.
• Version Control: GitHub for collaborative development and tracking.

🚧 Challenges I ran into

• Data Complexity: Designing a schema that supports non-linear, interconnected knowledge paths was complex.
• Vector Search Tuning: Making topic suggestions relevant and meaningful required significant trial and error.
• Time Constraints: Building an AI-powered MVP in a few days with limited data science background was demanding.
• User Experience Design: Crafting a UI that balances curiosity, clarity, and interactivity was a big design challenge.

🏆 Accomplishments that I'm proud of

• Delivered a working MVP that blends clean design, AI-powered exploration, and user engagement.
• Designed an intuitive curiosity-driven UI and graph-based topic visualization.
• Created a scalable learning platform that can evolve into a powerful educational tool.

📚 What I learned

• Practical skills in integrating Google Cloud’s AI and vector search tools.
• How to structure an educational app for exploration, not just information delivery.
• The value of designing for emotional engagement—curiosity, surprise, and joy.

🚀 What's next for AkiliQuest

• Introduce personalized learner journeys, user profiles, and achievement streaks.
• Add gamified elements like badges, curiosity levels, and shared quests.
• Support multimedia learning through audio/video integration and multilingual summaries.
• Expand integration with Google tools like Classroom or Docs.
• Empower educators to build guided curiosity paths and analyze student growth.

Built With

• nextjs