Inspiration :We've all experienced decision fatigue — standing in front of the fridge, endlessly scrolling Netflix, or wondering where to eat. The idea for AI Picker came from that daily struggle.
We wanted to build a tool that eliminates overthinking, by using AI and real-time APIs to offer instant smart suggestions across different parts of your life — from food, films, and music to books and travel.n
What it does AI Picker uses GPT-powered intelligence to suggest personalized content based on your mood or need:
What to Watch – Movies/shows based on your current vibe
What to Eat – AI-curated meal suggestions
Where to Go / Eat – Location-based travel or restaurant ideas
What to Read / Gift – Books and gift recommendations from curated datasets
What to Listen – Music & podcast suggestions using YouTube and Spotify
With one click, the app decides for you — and even plays matching music or displays nearby venues.
How we built it We used Bolt as our core platform and prototyped on Replit. The frontend is built with React using Tailwind CSS, and the brain of the app runs on OpenAI’s GPT-4 to interpret user moods and give decisions.
We integrated:
🎶 YouTube iFrame API – To auto-play mood-based music
📚 Open Library API – To recommend books by topic
📍 Geoapify API – To find places (cafes, museums, parks) near the user
🧠 Custom GPT prompts – To guide decision-making with natural language
🔊 TTS AI (voice tools) – To deliver entertaining feedback in demo
Challenges we ran into Syncing YouTube audio controls with React was tricky
Finding free, open APIs for music, books, and location services
Making the interface mobile responsive and user-friendly
Avoiding rate-limits & ensuring performance during multiple mood queries
Accomplishments that we're proud of
What we learned : How to integrate APIs efficiently into Bolt-based projects
Using GPT-4 creatively to simulate real-life assistant thinking
Building apps that work across devices and platforms
How to produce a clean UX while supporting complex AI queries
What's next for AI Picker : Add user login & preferences tracking
Let users save favorites and review suggestion history
Add more categories like fitness, meditation, and fashion
Explore integrations with Google Maps, Flight APIs, and more music platforms
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