Cinemated hero
Mobile App

Cinemated

No One Understands Your Movie Taste Better Than Us

Tech: Flutter · TensorFlow · MySQL · Firebase

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Find movies that actually match your mood

The Problem

Streaming platforms push the same trending titles to everyone. Genre filters are too broad and ignore what people actually love about a film. Recommendation engines often repeat the same actors or franchises, creating decision fatigue. Users want suggestions that feel tailored to their vibe in the moment.

The Solution

Cinemated lets movie fans build a taste profile and get mood-aware lists so they can pick a film quickly and feel confident it fits the night.

Target Audience

Movie lovers who've experienced the ultimate defeat: scrolling through endless options only to give up and watch TikTok. They want recommendations that feel personal, not algorithmic. For the people tired of decision fatigue, and now want a service that understands "I want something like my favorite film, but for tonight's specific vibe."

Market Opportunity

Streaming options keep expanding, and so does choice paralysis. Personalized discovery is now a key differentiator for media platforms. A standalone companion app can serve cross-platform viewers who want smarter picks than any single service provides.

Key Features

Taste Profile Builder

Like movies, actors, directors, and studios to seed recommendations. The model learns fast from explicit signals.

Mood-Based Watchlists

Curated lists based on themes like cozy mystery or atmospheric horror. Helps match a movie to the moment.

Smart Watchlist and History

Save picks and track what you watched. Prevents repetition and improves future suggestions.

Personalized Home Feed

Daily mix of new releases and deep cuts based on your profile. Keeps discovery fresh.

Technology Stack

Frontend: Flutter
Ai ml: TensorFlow (recommendation model)
Backend: Firebase
Storage: MySQL
Other: Firebase Auth

Project Status

MVP complete — seeking first 100 users

Engineering Reflection

If starting over, I’d add evaluation metrics early to compare recommendation quality across cohorts. I’d also separate taste vectors from UI preferences so tuning the model doesn’t break personalization features.

Looking For

Open to beta users, film-community partners, and advisors in consumer discovery products

View Technical Overview

Cinemated is an AI-powered movie recommendation app designed to cater to your unique cinematic preferences. Built using Flutter, TensorFlow, MySQL, and Firebase, it blends advanced machine learning with a friendly interface.

Users can set up their profiles by liking movies, genres, actors, directors, and even production houses. The AI analyzes these preferences to recommend films tailored to their tastes.

Cinemated goes beyond the usual genres, surfacing special categories like horror films in eerie castles or whodunits with charming detectives, so every movie night is a hit.