Sensa AI

The Struggle with Traditional Learning

For the better part of "trying to learn something new," I was learning how to lose in a battle. The conventional strategies made absolutely no sense, like being attacked with random bits and pieces of information that were totally irrelevant. My family couldn't afford any private tuition, so I assumed that for some reason there was a malfunction in my brain. With time, I found out that the issue wasn't me; rather, it was just the way of traditional teaching methods.

A New Approach to Understanding

It turned out that any sort of advanced concept could be understood by associating it with something more basic, like a memory or motivation. Once I figured this out, life became easy as everything else followed suit.

Examples of Applied Learning

• Chess became easier when I associated every move with a story involving characters that existed in my mind.
• Solving the Rubik's Cube morphed into me performing various patterns set to rhythm.
• Even self-taught piano players managed to connect the Interstellar theme notes with the feeling of playing around an alien globe, which unlocked an entire level of comprehension that sent us above the clouds, rather than confirming theories enabling understanding instead of straining one's noodle via memorization.

The Inspiration Behind Sensa AI

This realization is what fueled the inspiration to start Sensa AI. Right now, I am constructing a system that encapsulates this very journey. In a nutshell, it's my effort to construct the mentor that was missing in my life.

Built With

• deno
• github
• google-cloud
• google-gemini-ai-api
• mermaid.js
• node.js
• react
• react-flow
• rest
• supabase
• supabase-edge-functions
• tailwind-css
• typescript
• vite
• zustand