FitGo – Your AI Outfit Companion

Inspiration

Choosing what to wear before a trip, meeting, or date is stressful and wastes time. Many people feel insecure due to inappropriate outfits for weather or occasions. FitGo was created to remove this stress, helping everyone look confident and stylish with AI-powered outfit recommendations.

What it does

FitGo allows users to input their location, occasion, and gender, then generates outfit suggestions using AI. It considers weather and cultural etiquette to ensure relevance. We also use Tavus to generate a personalized AI presenter video to enhance user engagement.

How we built it

We used Bolt.new for rapid frontend building, integrated Tavus for video generation, and designed a scalable architecture for future AI API integration (OpenAI/Gemini for outfit suggestions, OpenWeather for weather data). We deployed on Netlify for seamless sharing.

Challenges we ran into

• Integrating weather and cultural data dynamically
• Managing multi-language UI efficiently
• Generating consistent video outputs with Tavus within time constraints

Accomplishments that we're proud of

• Built a working AI-powered outfit recommendation app within a short timeframe
• Integrated Tavus for enhanced presentation
• Designed a clean, mobile-friendly interface

What we learned

• The power of rapid prototyping with Bolt.new
• User preferences on personalized content increase engagement
• Managing AI integrations efficiently for hackathons

What's next for FitGo

• Add real-time AI-generated outfit images
• Integrate weather data live
• Expand to include personal wardrobe management

Built With

• bolt.new
• css
• gemini
• openai
• openweather
• tailwind
• tavus