TimeCapsule
- 0 Collaborators
TimeCapsule is an AI-based system that uses advanced algorithms to generate concise and informative summaries of historical events. It identifies the key events, people, and places mentioned in the text and creates a summary that highlights the most important aspects of the event. ...learn more
Project status: Published/In Market
oneAPI, Artificial Intelligence
Intel Technologies
DevCloud,
Intel Python
Overview / Usage
**About:- **TimeCapsule is an AI-based system that can summarize and generate historical events into concise and informative summaries. The system will use advanced algorithms to identify key events, people, and places mentioned in the text and create a summary that highlights the most important aspects of the historical event. TimeCapsule aims to create an AI-based system that can generate visually compelling and accurate videos and images of historical events.
Methodology / Approach
Objective:- The goal of TimeCapsule is to make historical events more engaging and accessible to a wider audience. By providing visually stunning and accurate representations of historical events, the system will enable students, researchers, and history enthusiasts to gain a deeper understanding and appreciation of our shared past. Additionally, the system could be used in museums, historical sites, and educational institutions to enhance the learning experience and bring history to life.
Solution:- Develop an AI system that offers users comprehensive insights into historical events through a combination of text, image, and video content, providing a multi-dimensional and immersive learning experience.
Technologies Used
TECH STACK
Video Generation:- Stable Diffusion Attend-and-Excite
**LLM Model trained on GPT 3.5:- **Vicuna
**Text Summarization:- **BART Model
**Image Generation:- **HuggingFace Stable Diffusion 1.4
GUI:- Gradio