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AI Soul: Generative AI and Chinese Culture

[AI Qin Dynasty Search Project] A Digital Revolution in History: Enabling Students to Actively "Travel Through Time" to Learn History
Say goodbye to rote memorization! EdCoSys, riding the wave of the 2026 Qin Dynasty exploration craze, launches the "AI Qin Dynasty Exploration Project." Utilizing RAG and DeepSeek technologies, students can build their own Qin Dynasty history database and engage in a cross-temporal dialogue with Qin Shi Huang. This is the best STEAM solution to enhance interest in history and implement national education.
History is no longer about rote memorization | Using AI data to "face-to-face" with Qin Shi Huang
Combining DeepSeek and RAG technologies, this new interdisciplinary project from EdCoSys transforms the *Records of the Grand Historian* into an interactive source of historical wisdom, infusing history lessons with a STEAM spirit.
Don't let history remain on paper.
In textbooks, history may just be a series of dull years; but in movies and games, history becomes a vibrant adventure. The power of film and television lies in making the past tangible, allowing students to immerse themselves in it. EdCoSys, through its "AI Qin Dynasty Project," upgrades this experience, transforming students into restorers of history, actively searching, verifying, and reconstructing. By piecing together the true face of the Qin Dynasty from massive amounts of data, learning history becomes an active puzzle-solving game.

AI Integrated with National Education: Three Core Values

In-depth historical perspective
Students must design accurate system prompts for the AI system; otherwise, the AI Qin Shi Huang will only give irrelevant answers. This is the highest level of test of historical understanding.

National identity
Through in-depth, first-person dialogues with AI-generated historical figures, students can gain a deeper, more emotional understanding of the foundations that have sustained Chinese civilization for millennia. This interactive experience is far more engaging and resonant than one-way textbook instruction.

Interdisciplinary AI
The course teaches RAG (Retrieval Augmentation Generation) technology, a core skill currently used in the AI industry to solve the "illusion problem." It seamlessly connects history teaching with the most sought-after AI skills in the future workplace.
Students create AI souls in four parts

first step
Cleaning historical documents and data: Building a brain (Data Engineering)

Step 2
Use Midjourney to generate a majestic portrait of Qin Shi Huang.

Step 3
Adjusting speech parameters to synthesize a royal voice (TTS Voice)

Step 4
Cross-temporal dialogue (System Integration) system online testing

One RAG engine, usable by all disciplines across the university.
With this technology, any historical figure can be "resurrected" on the EdCoSys platform. For example:

School-based historical inheritance
Input school history documents and old photos to recreate the voice and appearance of the founding president and interact with alumni on open days.

Chinese Language Applications
Enter "The Biographies of Lian Po and Lin Xiangru" to allow students to simulate the "Meeting at Mianchi" with the AI Lin Xiangru and conduct real-time debate skills training.

Science Dialogue
Let AI Einstein explain relativity in Cantonese, breaking down the barriers between science and language.

Literary Appreciation
Input "Memorial on Dispatching the Troops" and let the AI Zhuge Liang personally narrate his expectations and worries for the future emperor, allowing you to experience the emotions behind the text.

This is a stellar portfolio that speaks for itself.
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Exclusive AI works
Students can embed their trained "historical digital personas" into their e-portfolio or display them on the school website.
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Interdisciplinary project report
Demonstrating a deep understanding of history and culture, as well as the ability to apply Python/AI, is a strong topic in college entrance interviews.
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EdCoSys Professional Certificate
Certification demonstrates proficiency in RAG architecture development and Prompt Engineering skills.

