Inception AI is a SaaS platform leveraging ChatGPT to deliver advanced AI functionalities through a user-friendly interface. Designed to streamline workflows and boost productivity, the platform integrates five core AI tools, providing both free and paid tiers to meet various user needs.
- Craft a fully functional and responsive web application: Built with React and Tailwind CSS for a seamless experience across devices.
- Implement secure user authentication: Utilizing Clerk to ensure data privacy and access control.
- Integrate the ChatGPT API: For AI-driven text summarization, content creation, sentiment analysis, code generation, and translation.
- Persistently store user data: Using Prisma and MySQL for reliable data management.
- Deliver a deployed prototype: Hosted on platforms like Vercel.
- Establish a Kanban board on GitHub: For transparent development tracking and documentation.
- Frontend: React, Tailwind CSS
- API Integration: ChatGPT API
- Backend: Next.js 14, Prisma, MySQL
- Authentication: Clerk
- Project Management: GitHub Project Khan Board
- Payments: Stripe
The platform will offer a free tier with limited access and a paid tier that unlocks all five AI tools. Stripe will be integrated for secure and reliable payment processing.
Read more about Methodology
An agile approach will guide the project with iterative sprints and user feedback:
- Requirement Analysis: Define user needs and functionalities.
- Prototype Development: Build a basic prototype for feedback.
- API Integration: Integrate ChatGPT API calls.
- Authentication Implementation: Secure user management with Clerk.
- Data Persistence: Set up Prisma and MySQL.
- Testing and Refinement: Thorough testing and feedback integration.
- Deployment and Documentation: Deploy the final prototype and prepare documentation.
- Functional SaaS AI Platform: With free and paid tiers.
- User Documentation: Guides and tutorials.
- Project Khan Board: Detailed development process.
- Source Code: With clear comments and explanations.
- Presentation: Showcasing goals, achievements, and future potential.
Inception AI aims to democratize advanced AI functionalities through a user-friendly platform. By integrating ChatGPT and using innovative technologies, the project enhances user productivity and offers flexible pricing, showcasing strong technical expertise and aligning with Capstone objectives.
The video and audio generation models have occasionally been observed to take an extended time to produce content in deployment. As a result, API requests may time out before a response is received.
To mitigate this, a vercel.json file was introduced to extend the API call timeout to 300 seconds. The root cause of the delay appears to be that the model generation engine sometimes starts in a cold state, requiring additional time to warm up before producing content.
To further enhance reliability, a polling-based solution will be implemented. This approach will ensure more consistent API responses while preventing timeouts. However, it requires refactoring the following components:
- API Endpoint: Adjustments to support polling logic.
- Loader Component: Introduction of a new component to handle real-time status updates.
- UI Updates: Enhancements to display loading states and final results more effectively.
✅ More reliable API calls.
✅ Improved user experience with real-time status updates.
✅ Elimination of timeouts.
✅ Better compatibility with a serverless architecture.
A ticket has been created in the project Kanban to track the implementation of these improvements.
To ensure the app remains robust automated tests will be introduced to offer testing of all components. Jest testing Library will be used to test the application