Alex KAMENI

Alex KAMENI

Machine Learning Engineer | Data Scientist | AI Researcher

Dikoka: AI-Powered Document Analyzer

1 minute read

Published:

Dikoka is an AI-powered document analyzer that helps you navigate and uncover key insights from complex historical records. It extracts key insights, generates concise summaries, and suggests follow-up questions for deeper understanding.

Project Focus

Dikoka focuses on bringing clarity to an important historical record. The project centers on a pair of extensive 500-page documents titled:

“COMMISSION FRANCO-CAMEROUNAISE SUR LE ROLE ET L’ENGAGEMENT DE LA FRANCE AU CAMEROUN DANS LA LUTTE CONTRE LES MOUVEMENTS INDEPENDANTISTES ET D’OPPOSITION ENTRE 1945 ET 1971”

By integrating hierarchical summarization, Dikoka provides a clear roadmap of the document’s key sections. This feature guides users on what to check within the RAG (Retrieval-Augmented Generation) system, making it much easier to explore the dense content and understand its nuances.

Key Features

  • Hierarchical Summarization: Breaks down complex documents into manageable sections.
  • Key Insights Extraction: Highlights the most critical information.
  • Follow-Up Questions: Suggests questions for deeper exploration.
  • RAG Integration: Enhances exploration within Retrieval-Augmented Generation systems.

Skills and Technologies

  • Large Language Models (LLM): Powers the summarization and insight extraction.
  • Summary Reports: Generates concise and actionable summaries.
  • History: Focused on analyzing historical records.
  • Gradio: Provides an intuitive interface for users.

Dikoka is an essential tool for researchers and historians working with dense historical records. Its AI-powered features make it easier to navigate and understand complex documents.

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