I Built an AI Movie Recommendation App to End Endless Scrolling

Ramiz Mehdiyev — Sun, 14 Dec 2025 11:09:32 +0000

The Problem

Choosing a movie today is harder than watching one.
Endless lists, generic “Top 10” rankings, and platforms that don’t understand your mood.

I wanted something simpler and smarter.

The Solution

I built What to Watch, an AI-powered movie recommendation app.

Instead of browsing for 30 minutes, you tell the app:

how you feel

what you’re in the mood for

The app does the rest.

What Makes It Different

Mood-based recommendations, not generic lists

Learns from your behavior (likes, skips, favorites)

Fast and focused UX — no clutter, no noise

Designed for people who just want a good movie now

This isn’t another IMDb clone.
It’s a decision engine.

Tech Overview

Android-first architecture

Lightweight AI logic optimized for speed

Firebase-backed analytics & learning loop

Clean, minimal UI focused on intent → result

No overengineering. Just what’s needed.

Why I’m Sharing This

I’m building in public and iterating fast.
Early feedback matters more than marketing right now.

If you’re:

tired of scrolling

curious about AI-driven UX

building mobile products yourself

I’d value your thoughts.

Try It

What’s Next

Smarter personalization

Faster cold-start recommendations

iOS version if traction proves demand

Small steps. Real users. Real data.

Thanks for reading.
If you have feedback, be direct — that’s how products improve.

Forem: Ramiz Mehdiyev