RL-Blog
Creator/2026
RL-Blog — RL-Blog brings personalization to the edge. It watches your interactions and trains a Q-Learning agent entirely in your browser to curate a feed that matches your interests, without any server-side tracking. — RL-Blog — RL-Blog brings personalization to the edge. It watches your interactions and trains a Q-Learning agent entirely in your browser to curate a feed that matches your interests, without any server-side tracking. —
Stack
[ Next.js 16 ][ React 19 ][ TypeScript ][ Tailwind CSS 4 ][ Q-Learning ]
Outputs
- Self-learning Blog
- Browser-based AI Agent
- Real-time Personalization
RL-Blog brings personalization to the edge. It watches your interactions and trains a Q-Learning agent entirely in your browser to curate a feed that matches your interests, without any server-side tracking.
01
The Challenge
Implementing a learning algorithm that usually requires servers (Reinforcement Learning) directly in the browser while maintaining high performance.
02
The Approach
Built a custom Q-Learning agent in TypeScript that runs on the client. It assigns rewards to user interactions (clicks, read time) and updates its Q-table in real-time to re-rank the blog feed instantly.
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The Impact
Proves that personalized experiences don't need to sacrifice user privacy.
Demonstrated potential of edge-based AI personalization
Zero-privacy-compromise recommendation engine
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Live Project