A Brazilian university was faced with the task of creating accurate transcriptions for its online classes, mainly focused on Data Science, Engineering, and AI. The challenge was multi-fold; the solution needed to be cost-effective, highly accurate, and capable of packaging these transcriptions into e-book formats for the benefit of the students.
Leveraging their expertise in AI and ML, candido.ai designed a solution using cutting-edge open-source tools and machine learning models. They set about creating a transcription tool capable of accurately converting the audio content from the online classes into text form. Machine learning ensured precision in transcribing technical terms and context-specific phrases, thereby enhancing the reliability of the transcriptions. In addition, candido.ai developed a versatile e-book packaging application, enabling the organized and accessible dissemination of the transcriptions amongst the students.
The outcome was a highly accurate and cost-effective solution that successfully catered to the university's needs. The machine learning-based transcriptions ensured meticulous documentation of the online classes with high precision, improving the accessibility and quality of the learning resources. Furthermore, the integrated e-book packaging software compiled the transcriptions into easy-to-navigate e-books. This result provided the students with a practical learning resource that supplemented the online classes, facilitating improved comprehension of Data Science, Engineering, and AI topics. The creative application of AI and ML by candido.ai demonstrated how technology can be harnessed to overcome practical challenges, boost academic success, and avoid vendor lock-in or excessive costs.