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README.md
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title:
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colorFrom: yellow
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sdk: gradio
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sdk_version: 5.42.0
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app_file: app.py
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pinned: false
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- inference-api
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short_description: Prototype of an interactive GPT-style teaching assistant for
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title: ESCP AI Teaching Assistant Prototype
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emoji: 🎓
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colorFrom: yellow
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colorTo: purple
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sdk: gradio
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sdk_version: 5.42.0
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app_file: app.py
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pinned: false
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short_description: |
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Student-facing multi-modal AI teaching assistant prototype.
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# ESCP AI Teaching Assistant Prototype
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This Space hosts a **student-facing AI Teaching Assistant prototype** developed for ESCP Business School.
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The assistant is designed to support students across **four complementary roles**, each with its own memory, behavior, and constraints.
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---
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## Assistant Modes
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### 1. Course Detailer
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Provides **operational and logistical information only**, such as:
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- course structure and schedule
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- grading scheme and deliverables
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- platforms and tools
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- policies (attendance, late work, AI usage)
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### 2. Reviewer
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Helps students:
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- summarize slides
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- generate exam-style questions
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- review course material for assessment preparation
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### 3. Socratic Reviewer
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Supports learning through:
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- guided questions
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- conceptual clarification
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- reflective prompts
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(No direct rewriting unless explicitly requested.)
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### 4. Stakeholder
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Simulates a **realistic business stakeholder** reacting to a case study,
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remaining fully in character and aligned with the case context.
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---
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## Knowledge Sources
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The assistant uses two structured folders:
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- **`CourseContent/`**
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- Syllabi
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- Slides
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- Course-related documents
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- **`CaseStudyContent/`**
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- Case descriptions
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- Stakeholder context
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- Internal documents
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If these folders contain only placeholder files, the assistant automatically switches to **Demo Mode**.
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---
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## Demo Mode
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When no official material is loaded:
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- The assistant explicitly states that it is operating in **Demo Mode**
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- A consistent **demo course canon** is used across *all* assistant modes
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- Invented details remain internally coherent and aligned
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Once demo context is introduced, it is treated as the course “reality” for the remainder of the session.
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---
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## File Uploads
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Students may upload:
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- PDF, DOCX, PPTX
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- CSV, XLSX, JSON
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- Images (PNG/JPG, OCR-enabled if available)
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Uploaded files are:
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- used only for the current interaction
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- truncated for speed and safety
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- not persisted beyond the session
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---
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## Data & Privacy Notes
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- This prototype is intended for **educational demonstration purposes**
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- Users should **not upload personal or sensitive data**
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- Conversations are logged only for development/debugging
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- API keys are managed via environment secrets and never stored in code
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---
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## Technical Stack
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- **Gradio** for UI
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- **Hugging Face Inference API** for LLM access
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- Modular per-mode memory and instruction control
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- Bounded file ingestion for performance and safety
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---
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## Status
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This Space is a **prototype** intended for:
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- instructional experimentation
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- pedagogical design
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- controlled student-facing pilots
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Not yet intended for production deployment without institutional validation.
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