We are a team of experienced AI/ML Engineers with over 15 years of experience.
To create a comprehensive and efficient index for 700 Sanskrit verses that seamlessly integrates with ChatGPT, we propose a structured approach that encompasses data organization, index design, compilation, ChatGPT compatibility, testing, and deployment.
Data Organization
Data Collection: Gather and consolidate the 700 Sanskrit verses into a centralized repository.
Data Cleaning: Perform data cleaning to ensure consistency and remove any inconsistencies or errors in the Sanskrit text.
Data Categorization: Categorize the verses based on relevant criteria, such as chapter, verse number, and original text.
Index Design
Unique Identifiers: Assign unique identifiers to each verse to facilitate efficient indexing and retrieval.
Structured Format: Design a structured index format that clearly distinguishes between verse components (chapter, verse number, English translation, and Sanskrit text).
Metadata Inclusion: Incorporate relevant metadata, such as chapter titles and contextual information, to enhance index search ability.
Compilation
Automated Indexing: Develop a script or program to automate the indexing process, extracting and organizing verse components into the specified format.
We are eager to be part of this project, kindly get in chat for further details and inquiries.
Regards,
Vaival Technologies.