Inspiration
The "no experience, no job" cycle frustrates students everywhere. We built Aether to break this loop by connecting learning directly to earning.
What it does
Aether predicts high-demand skills, delivers 2-3 hour learning sprints, then provides immediate paid micro-tasks. Students build income and portfolios simultaneously while our AI auto-matches them with internships.
How we built it
Frontend: Next.js 14, TypeScript, Tailwind CSS Backend: Python FastAPI, PostgreSQL AI: Real-time market analysis and skill prediction Features: Learning sprints, micro-task marketplace, auto-internship matching
Challenges we ran into Real-time API integration, responsive UI animations, deployment optimization, and creating seamless user flows from learning to earning.
Accomplishments we're proud of Building a fully functional platform that actually pays students while they learn, with real AI-powered skill prediction and automatic internship matching.
What we learned Full-stack development, AI integration, user experience design, and how to solve real student problems with technology.
What's next for Aether Connect Expand skill categories, partner with more companies for micro-tasks, launch mobile app, and implement blockchain-verified skill badges.
Built With
- ai
- ai/ml
- algorithms
- all
- animations
- api
- apis:**
- architecture
- auto-application
- backend
- built
- coding
- content
- control
- css
- data
- database
- design
- devices
- embeddings
- fastapi
- features
- for
- framer
- frontend
- frontend:**
- generation
- git
- github
- integration
- integrations:**
- internships
- jsonplaceholder
- key
- language
- llm
- micro-tasks
- motion
- multi-platform
- natural
- navigation
- next.js
- nlp)
- notifications
- payment
- postgresql
- prediction
- primary
- processing
- python
- react
- real-time
- responsive
- restful
- router
- scraping
- skill
- stack:**
- storage:**
- streak
- styling
- system
- tailwind
- typescript
- user
- vector
- vercel
- version
- web
- with
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