Cheatector - Detect AI Generated Content in Your PDFs
Introducing Cheatector, a unique SaaS I developed single-handedly. It serves a crucial function - helping you identify portions of your PDFs that could potentially be recognized as AI-generated content. It operates on a simple credit system, where users can purchase credits using Stripe, and each credit allows for one PDF analysis.
This project was brought to life during my spare time, over a week of evenings after work and throughout the weekend. Despite the time constraints, it has resulted in a fully functional SaaS platform that uses the following technologies:
- Next.js for the front-end development
- Tailwind CSS for styling
- Supabase for the database and auth (Google and GitHub)
- Stripe for handling payments
- OpenAI's reverse-engineered detect API for AI content detection
- LangChain for managing PDF trimming
This project is a testament to what can be achieved in a short amount of time with the right dedication and use of technology. Although it's currently not free to use, it stands as a significant milestone in my journey as a developer. It not only helped me sharpen my skills but also highlighted the potential of AI in our everyday tasks.