Radar

Inspiration

We've all been there - staring at our calendars, wondering how to balance everything. Whether you're a rookie basketball player trying to figure out a practice schedule like the greats, a freshman navigating a new CS course, or someone prepping for an upcoming interview, creating an effective schedule is hard. Even more frustrating? Watching influencers post ambitious schedules that their followers can't realistically follow.

I was inspired by the idea that agents are meant to do mundane tasks so you can focus on what needs to be done. Why spend hours planning when an AI agent could understand your preferences, your constraints, and your goals to create a personalized schedule in minutes?

That's where Radar comes in - a platform that makes schedule creation as simple as having a conversation. Tell the Radar Agent about your exam in two weeks, and it'll suggest a study plan. Want to follow Elon Musk's daily routine? Duplicate it and customize it to fit your life. The platform uses multi-agent architecture powered by Google's Gemini and CopilotKit, with Firestore as the backend, to create, edit, save, and even export schedules directly to Google Calendar (future feature).

I built Radar to be the scheduling assistant everyone needs - whether you're learning data structures, training for a sport, or just trying to be more productive. Because schedules shouldn't be one-size-fits-all, and creating them shouldn't feel like another task on your to-do list.

Built With

• ai
• copilotkit
• edit
• firestore-database
• google-adk
• google-cloud-run-deployment
• next.js-frontend
• python
• python-backend-with-multi-agent-system-(generate
• save-agents)