Code Infinity Research and Development Organization - CIRDO

Building the "brain" of EdFlix 🧠

I’ve been working hard on EdFlix, and one of the coolest parts is the recommendation system. I wanted to make sure that when someone logs in, they see exactly what they need to learn next, without having to dig for it.

Here’s the simple version of how I set it up:

The Signal: Every time someone clicks or watches something, it sends a little data packet (JSON).

The Traffic Controller: I use Kafka to handle all that data. It’s like a massive sorting center that makes sure the app stays fast even when tons of people are using it at once.

The Logic: That data goes into an Event Hub where it gets cleaned up and saved into a database. This is how the system "remembers" what you like.

The Guess: I built a Model that looks at your history and your current "vibe" (like what device you're on) to predict what you'll enjoy.

The Result: A small Micro-service grabs those predictions and puts them right on your screen in real-time.

It’s been a fun challenge to move away from just "showing a list of videos" to actually making the platform feel smart.

Want to build stuff like this? We're growing the team at nfrac:

🔬 If you love Research: Join the NFRAC's Dept of AI. We're building models from the ground up (low-level).

🛠️ If you love Applied AI/ML: Join the TattvaAI team at nfrac-vtc.

Pushing a step further on YAARI --update--.

Today, I’m rolling out 'Goto HotSpots' on Yaari, a location-driven layer that lets users discover what’s actually happening around them, in real time.

Users can now find the best HotSpots within a 7 km radius and seamlessly navigate to any location using maps, directly inside Yaari.

The goal is simple: reduce the gap between online interaction and offline experience.

Instead of just seeing content, you can now navigate to places worth your time, cafes, hangouts, and local spots directly from within Yaari.

This is an early iteration. The focus right now is on building a clean, scalable foundation for location-based discovery inside a social graph.

More improvements coming as we learn from usage.