Data Preprocessing for AI-Powered Explanation Generation
As an engineer, I want to preprocess the input data (photos or recordings) to ensure they are in the right format and quality for the AI model to analyze and generate explanations about how something works effectively.
Acceptance Criteria
[ ] Input data can be images or audio recordings.
[ ] Images must be in a common format (JPEG, PNG) and have a minimum resolution of 800x600.
[ ] Audio recordings must be clear, with minimal background noise and in standard formats (MP3, WAV).
[ ] Metadata extraction: date, time, and source information must be preserved.
[ ] Data anonymization: any identifiable information in images or audio must be blurred or removed.
[ ] Error handling: inputs that don't meet quality standards are rejected with an informative message.
[ ] Optical Character Recognition (OCR) is applied to text within images if needed.
[ ] Audio transcriptions are created for recordings, using speech-to-text technology.
sequenceDiagram
participant User
participant Preprocessor
User->>Preprocessor: Upload photo or recording
Preprocessor->>User: Validate input format and quality
Preprocessor->>User: Extract metadata
Preprocessor->>User: Anonymize data
Preprocessor->>User: Apply OCR (if image)
Preprocessor->>User: Transcribe audio (if recording)
Data Preprocessing for AI-Powered Explanation Generation
As an engineer, I want to preprocess the input data (photos or recordings) to ensure they are in the right format and quality for the AI model to analyze and generate explanations about how something works effectively.
Acceptance Criteria