Inspiration
i built sPutta from a simple frustration: why should understanding something difficult require struggling through it first? I wanted to create a tool that strips away unnecessary complexity and makes dense information feel almost effortless to comprehend.
What it does
sPutta is a learning tool designed to make complex information easier to understand, especially for neurodivergent learners.
How we built it
Engineered with a FastAPI backend, Firebase for persistent data and user state, and Groq-powered LLM inference, with document ingestion and processing pipelines that transform dense content into structured, context-aware explanations.
Challenges we ran into
Optimising response latency
Accomplishments that we're proud of
Implemented persistent user-specific data
What we learned
handling unstructured documents
What's next for Sputa
better personalisation
Built With
- documentparsing
- fastapi
- grok
- llms
- python
