FitBeat

From mood to music — generated on-demand by AI

Firbit

Overview

FitBeat is an AI-driven music recommendation system that turns natural-language prompts into personalized playlists. Users can simply say: “Create a playlist for an intense cardio workout,” and receive a curated AI playlist that matches the desired energy, rhythm, and emotional tone.
The app is fully deployed and functional, offering fast, on-demand playlist generation in under two minutes.

FitBeat - AI-Powered Music Recommender

The Challenge

Finding the right music for a specific mood, event, or workout is time-consuming. Existing music platforms rely on predefined tags or genres and can’t interpret natural-language requests such as ‘calm focus music for a late-night work session’ or ‘energetic songs for a morning run.’

Our Solution

FitBeat combines LLM reasoning with semantic search to understand the intent behind a user’s description — not just the keywords. It filters, ranks, and selects songs based on energy,
tempo, lyrics, and emotion, delivering a truly personalized playlist every time.

Key Benefits

01

Instant personalization

Playlists tailored to mood, tempo, and energy.

02

Smart understanding

interprets emotional and contextual cues in natural language.

03

Fast response time

playlists ready in under two minutes.

04

Lightweight and scalable

Serverless backend ensures high performance and low cost.

05

Explainable recommendations

based on both numerical features and semantic context.

Interested in a Product Demo?

Tech Stack

Python · LangChain · ChromaDB · Sentence-Transformers · OpenAI API · Genius API · AWS
Lambda · API Gateway · AWS S3 · Secrets Manager · CloudWatch · AWS Amplify · Docker ·
GitHub Actions (CI/CD)

Let’s build the future of intelligent systems together