README.md

metadata

title: AI Teaching Assistant Prototype (Student-Facing Version)
emoji: 🤖
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
short_description: |
  Multimodal & model-agnostic AITA for ESCP students 

ESCP AI Teaching Assistant Prototype

This Space hosts a student-facing AI Teaching Assistant prototype developed for ESCP Business School.

The assistant is designed to support students across four complementary roles, each with its own memory, behavior, and constraints.

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Assistant Modes

1. Course Detailer

Provides operational and logistical information only, such as:

• course structure and schedule
• grading scheme and deliverables
• platforms and tools
• policies (attendance, late work, AI usage)

2. Reviewer

Helps students:

• summarize slides
• generate exam-style questions
• review course material for assessment preparation

3. Socratic Reviewer

Supports learning through:

• guided questions
• conceptual clarification
• reflective prompts
  (No direct rewriting unless explicitly requested.)

4. Stakeholder

Simulates a realistic business stakeholder reacting to a case study, remaining fully in character and aligned with the case context.

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Knowledge Sources

The assistant uses two structured folders:

• CourseContent/

  • Syllabi
  • Slides
  • Course-related documents

• CaseStudyContent/

  • Case descriptions
  • Stakeholder context
  • Internal documents

If these folders contain only placeholder files, the assistant automatically switches to Demo Mode.

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Demo Mode

When no official material is loaded:

• The assistant explicitly states that it is operating in Demo Mode
• A consistent demo course canon is used across all assistant modes
• Invented details remain internally coherent and aligned

Once demo context is introduced, it is treated as the course “reality” for the remainder of the session.

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File Uploads

Students may upload:

• PDF, DOCX, PPTX
• CSV, XLSX, JSON
• Images (PNG/JPG, OCR-enabled if available)

Uploaded files are:

• used only for the current interaction
• truncated for speed and safety
• not persisted beyond the session

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Data & Privacy Notes

• This prototype is intended for educational demonstration purposes
• Users should not upload personal or sensitive data
• Conversations are logged only for development/debugging
• API keys are managed via environment secrets and never stored in code

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Technical Stack

• Gradio for UI
• Hugging Face Inference API for LLM access
• Modular per-mode memory and instruction control
• Bounded file ingestion for performance and safety

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Status

This Space is a prototype intended for:

• instructional experimentation
• pedagogical design
• controlled student-facing pilots

Not yet intended for production deployment without institutional validation.