LifeCurve: AI Life Graph with Go, React, Redis & PostgreSQL

"A smart visual diary that takes long stories from your life and turns them into a beautiful interactive graph of emotional highs and lows, showing how you grew through every milestone."

1. The Problem (Why I Built This)

Writing down memories helps people reflect, but raw text makes it hard to see the big picture:

• Information Overload: People write thousands of words, but cannot easily track how their career, relationships, and mindset evolved over time.
• AI Token Waste: If a user closes the browser while an AI is processing a long story, traditional servers keep running the LLM in the background, wasting costly API tokens.
• Slow Processing: Parsing long memoirs (15,000+ characters) causes web requests to time out.

2. How I Solved It (Under The Hood)

I engineered a high-concurrency Go (Gin) backend paired with a smooth React timeline:

• Go Goroutines with Context Cancellation: When a user disconnects or refreshes, Go's context.WithCancel instantly stops upstream AI calls, eliminating token waste.
• Redis Background Task Queue: Uses BLPop queue pacing to process long memoirs asynchronously without blocking web servers.
• Dual-Provider AI Engine: Groq LLaMA provides lightning-fast analysis in under 3 seconds, with automatic fallback to Gemini if rate limits are reached.
• Interactive Canvas Timeline: Interactive chart with smooth 60fps zooming, scrubbing, and 1-click batch export of 34 visual milestone cards to a ZIP file.

3. Key Takeaway & Results

• Performance: Analyzes 15,000-character memoirs in under 3 seconds.
• Efficiency: Zero token waste on cancelled requests thanks to Go context management.
• Visual Polish: Fluid 60fps interactive milestone visualization.