Development of an Advanced Video Upload Tool with ChatGPT API Integration

Summary: Our project encompasses the development of a powerful tool for video uploads, employing advanced technologies and integrating artificial intelligence through the ChatGPT API. The solution provides video transcription, automatic generation of titles and descriptions based on obtained transcriptions. The front-end is built with React (Typescript) and Vite, while the back-end uses Node.js, Fastify, Typescript, Prisma, OpenAI, and MongoDB.

Technologies Used:

1. Front-end:
2. React (with Typescript): We chose React as our main library for building the user interface, providing a dynamic and efficient experience.Vite: We used Vite as the framework for front-end development, ensuring quick startup and reloading during development.
3. Artificial Intelligence:
4. OpenAI (ChatGPT): Integrating the ChatGPT API enables video transcription, intelligent title, and description generation, enriching the user experience with quality textual content.
5. Back-end:
6. Node.js: We selected Node.js as the platform for back-end development, ensuring efficient and scalable execution.Fastify: We used Fastify as our web framework, ensuring superior performance and efficiency in request processing.Typescript: We adopted Typescript for robust programming and facilitated maintenance, increasing code quality.Prisma: Integrated Prisma as our data access layer, simplifying interaction with the database and improving operation security.MongoDB: Implemented MongoDB as our NoSQL database, leveraging its flexibility and scalability to store relevant application data.

Key Features:

1. Video Transcription:
2. The tool allows video uploads, utilizing the ffmpeg library for efficient processing.Audio transcription is performed through integration with the ChatGPT API, providing accurate and detailed transcriptions.
3. Automatic Title and Description Generation:
4. Based on the obtained transcriptions, ChatGPT AI is employed to automatically generate attractive and informative titles and descriptions for the videos.
5. Data Storage and Management:
6. We use MongoDB to store data efficiently, ensuring the quick retrieval of relevant information.
7. Security and Scalability:
8. Secure and scalable implementation is ensured through the use of Typescript, Fastify, and Prisma, providing a robust and fault-resistant architecture.

Conclusion: The project represents a significant advancement in the creation and management of video content, combining modern technologies and artificial intelligence to offer an enhanced user experience. The tool provides an innovative approach to transcription, title, and description generation, contributing to efficiency and quality in audiovisual content production.