AI-Powered Grant Scraping and Eligibility Deduplication Workflow

Overview

This workflow automates the end-to-end process of scraping AI grant opportunities, deduplicating entries, and evaluating eligibility using advanced AI models. It streamlines the collection, analysis, and storage of grant data, ensuring only unique and relevant opportunities are tracked.

Key Features

• Automated Data Collection: Uses HTTP requests to fetch the latest AI grant listings.
• Deduplication: Employs a removeDuplicates node to ensure only new, unique grants are processed.
• AI-Powered Analysis: Integrates OpenAI's language models for summarizing grant synopses and extracting eligibility factors.
• Data Enrichment: Extracts and merges critical information for comprehensive grant profiles.
• Seamless Storage: Saves processed grant data directly to Airtable for easy tracking and management.

Benefits

• Efficiency: Eliminates manual grant research and data entry, saving significant time.
• Accuracy: Reduces errors and redundancies through automated deduplication and AI-driven analysis.
• Actionable Insights: Provides clear eligibility factors, enabling faster decision-making.

Use Cases

• Research teams seeking up-to-date, relevant AI grant opportunities.
• Organizations tracking grant eligibility for funding applications.
• Automated grant monitoring and reporting for non-profits and academic institutions.