1 points | by ricardoahague 9 hours ago ago
1 comments
I built ChronologyAI to explore a simple idea: extracting timelines from narrative documents and detecting contradictions in event sequences.
The engine converts narrative text into structured chronological events and highlights impossible sequences or conflicts.
Example:
Input: "John arrived at the office at 8 PM. The meeting started at 7 PM. John says he attended the meeting."
Output:
Timeline 7:00 PM — Meeting started 8:00 PM — John arrived
Contradiction detected: John claims attendance before arrival.
The goal is to support document analysis in areas like investigations, legal review, and compliance analysis.
Future features planned: • timeline visualization • multi-document timeline merging • contradiction detection across sources
Feedback and suggestions are welcome.
I built ChronologyAI to explore a simple idea: extracting timelines from narrative documents and detecting contradictions in event sequences.
The engine converts narrative text into structured chronological events and highlights impossible sequences or conflicts.
Example:
Input: "John arrived at the office at 8 PM. The meeting started at 7 PM. John says he attended the meeting."
Output:
Timeline 7:00 PM — Meeting started 8:00 PM — John arrived
Contradiction detected: John claims attendance before arrival.
The goal is to support document analysis in areas like investigations, legal review, and compliance analysis.
Future features planned: • timeline visualization • multi-document timeline merging • contradiction detection across sources
Feedback and suggestions are welcome.