Google Drive–Gemini AI Connector

We are looking for a skilled developer to build a Google Drive to Google Gemini AI Connector. The goal is to create a secure, reusable application that allows querying and processing documents stored in Google Drive using Gemini’s AI capabilities.

Key Features:
- OAuth2-secured Google Drive integration (read-only access)
- Full Google Gemini API support
- RAG (Retrieval-Augmented Generation) for intelligent document processing
- Web interface for user-friendly querying
- REST API for programmatic acces
- Support for multiple file formats: PDF, Docs, Word, Text, CSV
- Reusable template to create multiple independent knowledge bases

Deliverables:
- Fully functional connector application
- Complete, well-documented source code
- Configuration files and setup instructions
- Web interface and API access
- README and troubleshooting guide

Requirements:
- Strong experience with Python and API integrations
- Familiarity with Google Drive API and OAuth2
- Ability to implement AI-powered querying and RAG systems
- Clean, maintainable, production-ready code