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  home page

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  full done

Inspiration

Content creators, marketers, students, and businesses spend hours researching topics, creating content, organizing workflows, and managing repetitive tasks. We wanted to build a platform where multiple AI agents collaborate to handle these tasks automatically, allowing users to focus on creativity and decision-making instead of manual work.

What it does

AI Content Studio is a multi-agent platform powered by Google Gemini that automates research, content creation, workflow execution, and task orchestration.

Users can:

• Generate high-quality content with AI
• Perform automated research
• Execute multi-step workflows
• Manage tasks through intelligent agents
• Choose between different AI models
• Collaborate with multiple specialized agents within a single workspace

The platform combines the power of Google Gemini with agent-based orchestration to provide fast, intelligent, and scalable automation.

How we built it

Frontend:

• Next.js
• TypeScript
• Tailwind CSS

Backend:

• Python
• FastAPI

AI Layer:

• Google Gemini API
• Multi-agent orchestration system

Database:

• MongoDB Atlas

Authentication:

• Google OAuth

Deployment:

• Vercel
• Google Cloud

Challenges we ran into

• Designing a reliable multi-agent architecture
• Managing communication between agents
• Integrating Google Gemini efficiently
• Implementing secure authentication
• Connecting cloud-hosted frontend and backend services
• Handling deployment and environment configuration across platforms

Accomplishments that we're proud of

• Successfully built a working multi-agent platform
• Integrated Google Gemini for intelligent task execution
• Created a modern and responsive user interface
• Implemented secure authentication and cloud deployment
• Delivered an end-to-end AI workflow automation solution

What we learned

Through this project we gained hands-on experience with:

• Agent orchestration systems
• Google Gemini integration
• Cloud-native application deployment
• Full-stack AI application development
• Authentication and API security best practices

What's next for AI Content Studio

• More specialized AI agents
• Advanced workflow automation
• Team collaboration features
• Additional integrations and tools
• Enhanced analytics and reporting
• Enterprise-grade scalability and monitoring

Built With

• fastapi
• google-cloud
• google-gemini
• google-oauth
• langgraph
• mongodb-atlas
• next.js
• python
• rest
• tailwind-css
• typescript
• vercel