A Saudi Arabia-based human development organization managed a vast repository of historical documents accumulated over two decades. With records stored in multiple formats, including scanned, handwritten, and low-quality documents, the organization needed a faster and more efficient way to retrieve critical information.
The Challenges
- Managing over two decades of scattered historical records made information retrieval slow and inefficient.
- Poor-quality scanned and handwritten documents limited search accuracy and accessibility.
- Manual document searches consumed significant time and operational effort.
- The organization needed a centralized, bilingual solution to quickly retrieve information in both Arabic and English.
The Solution
- Developed an AI-powered document chatbot, using Python, Dialogflow, Google Document AI (OCR), and JavaScript, to enable natural language search across historical records.
- Centralized document storage and retrieval through a single intelligent access point.
- Integrated AI-powered OCR to extract information from scanned, handwritten, and low-quality documents.
- Enabled bilingual document search in Arabic and English for improved accessibility.
The Business Outcomes
- Centralized document access through a unified, searchable repository.
- Faster information retrieval using natural language queries.
- Improved document accuracy with AI-powered OCR for scanned and handwritten records.
- Enhanced operational efficiency by reducing manual document review and search efforts.
