Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for JeetoBaz AI-powered
Inspiration
JeetoBaz AI was created to make prize participation more transparent, engaging, and intelligent. We wanted to combine a modern mobile experience with OpenAI models to help users discover products, generate content, and simplify administration.
What it does
JeetoBaz AI is a mobile-first prize platform enhanced with AI.
Key capabilities include:
- AI-powered product recommendations
- AI-generated product descriptions
- AI marketing content generation
- Smart admin workflow assistance
- Secure user authentication
- Transparent prize experience
- Mobile-friendly interface
How we built it
We built JeetoBaz AI using React Native and Expo for the mobile application, Supabase for authentication and backend services, PostgreSQL for data storage, and OpenAI models through Codex for AI-powered features and development workflows.
Challenges we ran into
The biggest challenges were designing scalable backend workflows, integrating AI into real user experiences, and building an interface that is simple while remaining trustworthy and fast.
Accomplishments that we're proud of
- Built a modern mobile application
- Integrated AI into multiple workflows
- Created a clean admin experience
- Developed a scalable architecture
- Combined AI with a real-world consumer platform
What we learned
This project taught us how AI can improve productivity, user experience, and content generation while reducing manual work for administrators.
What's next for JeetoBaz AI
Future plans include:
- AI customer assistant
- AI fraud detection
- Personalized recommendations
- Multilingual support
- Advanced analytics
- Smarter automation powered by OpenAI
Built With
- api
- codex
- css
- expo.io
- figma
- git
- github
- gpt-5.6
- javascript
- native
- openai
- postgresql
- react
- rest
- supabase
- tailwind
- typescript
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