This project aims to build an AI-driven data migration and mapping system that automates the extraction, transformation, and integration of data from multiple sources. The system will execute specialized pipelines to fetch data from CRM platforms, process and map it, and intelligently merge or match data from various sources

1. Data Migration Pipelines

• Extract data from leading CRM platforms such as Salesforce, HubSpot, and Zoho.
• Transform and store the extracted data into a structured database format.
• Ensure data consistency and integrity during migration.

2. Data Mapping Pipelines

• Convert the stored CRM data into structured formats based on predefined schemas.
• Automate data mapping using rule-based transformations.
• Establish relationships between entities and attributes from different sources.

3. Data Merging & Matching Pipelines

• Identify and merge duplicate records from multiple sources.
• Perform intelligent data matching by detecting similarities and relationships between the fields.
• Link the data from (Excel, CSV files) with the CRM data stored in the database.
• Implement Java-based algorithms for high-performance matching and comparison.

4. AI-Powered Data Matching

• Compare two JSON objects to detect common attributes and fields.
• Compute similarity scores to determine the degree of match between JSONs.
• Generate a matching score to quantify how well one JSON matches another.

5. AI-Powered Relationship Discovery

• Leverage AI-driven techniques to enhance data matching and mapping processes.