Easium is an AI-powered platform built by Jaya Koding to help students and job seekers confidently prepare for their careers. Developed in just 24 hours during a hackathon hosted by Lovable.dev, Easium offers a suite of tools to enhance your job application materials and interview skills.
Our goal with Easium is to provide accessible and practical career preparation tools. We leverage the power of AI to offer personalized feedback and realistic practice environments, making career readiness a more manageable and less daunting process. This platform was conceived and built during a 24-hour hackathon, showcasing our team's ability to rapidly develop and deploy a functional and impactful solution.
Easium offers two main features to help you land your dream job:
Get instant, AI-generated feedback on your resume. Our analysis focuses on making your CV more Applicant Tracking System (ATS) friendly, increasing its chances of getting noticed by recruiters. The feedback is designed to be practical and easy to implement.
Practice makes perfect. Our interactive AI Mock Interview simulates a real interview experience tailored to specific job roles and descriptions. This feature helps you build confidence and refine your answers to common interview questions in a low-pressure environment.
We've combined several powerful technologies to create a seamless and personalized experience:
- Gemini: Google's powerful AI model is used for the core CV analysis, providing accurate and consistent feedback.
- ElevenLabs: This integration powers our AI Mock Interview agent, delivering realistic and natural-sounding voice interactions.
- Supabase: We use Supabase for our backend infrastructure, ensuring a scalable and secure platform.
- Lovable AI: As part of the hackathon, we integrated Lovable AI to enhance the user experience and platform functionality.
Easium is built with a modern and robust tech stack:
- Frontend: React, TypeScript, Tailwind CSS
- Backend: Supabase
- AI & Machine Learning: Gemini, ElevenLabs
Built with ❤️ by Jaya Koding.