EduFlow-Nexus - AI Backend 🤖

Powering Intelligent Campus Solutions with Scalable AI

This repository hosts the AI-driven backend for EduFlow-Nexus’s campus life transformation platform. Built on FastAPI, GCP, and Docker, it delivers core functionalities like visual query processing, automated note generation, and video-to-notes conversion to empower students and educators.

Deployed on GCP with Docker for scalability. Actively developed during a 30-hour hackathon!

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🎯 Project Overview

Goal: Build a robust, scalable AI backend to support peer-to-peer learning, accessible education, and seamless academic workflows.
Current Focus: Optimizing AI models for visual queries, chatbots, and real-time audio processing.

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🚀 Key Features

1. Canvas-Integrated AI Tools

• Visual Query Engine:

  • How It Works: Analyzes hand-drawn diagrams/images → generates code, flowcharts, or explanations (e.g., sketch a graph → get Python code for traversal).
  • Use Case: Students/educators quickly convert ideas into executable formats.
  • Business Model: License to universities for STEM labs; premium API access for EdTech firms.

• Text-to-Notes Generator:

  • How It Works: Extracts key concepts from lectures/textbooks → creates structured, visual summaries.
  • Use Case: Automate study guides for fast-paced courses.

2. Administrative ChatBot

• How It Works:
  • Trained on college-specific data (policies, schedules, FAQs) → answers queries.
  • Use Case: “What’s the deadline for course registration?” → Instant, accurate response.
  • Business Model: B2B SaaS model – colleges pay for customization and support.

3. Video-to-Notes Pipeline

• How It Works:
• Use Case: Supports students with disabilities, internships, or language barriers.
• Business Model: Freemium tier for students; institutional subscriptions for bulk access.

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🛠️ Technical Architecture

• Framework: FastAPI + Uvicorn.
• Deployment: Dockerized microservices on GCP Compute Engine.
• APIs:
  • /generate-content (POST): Process images → return code/diagrams.
  • /extract-text (POST): Fetch answers from college-specific knowledge base.
  • /generate-notes (POST): Async video-to-notes pipeline.

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🚄 Quick Setup

git clone https://github.com/CodeRelay-dotenv/ai-backend.git  
docker-compose up --build  # Requires GCP credentials in ./gcp-credentials

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📌 Business Impact

Driving Value Through AI-Powered Solutions

Feature	Revenue Model	Target Audience	Scalability
Canvas-Integrated AI	- API licensing to Universities and Edtech Firms - API subscriptions for Students	STEM departments, educators	Integrate with LMS platforms
Administrative ChatBot	- Annual SaaS contracts - Customization fees	Colleges, universities	Deploy across multi-campus institutions
Video-to-Notes	- Freemium model (basic vs. premium) - Institutional bulk plans	Students facing language barrier or disabilities	Partner with video platforms extensions (Zoom, Teams)
Peer-to-Peer Tutoring	- Certification fees for reputation tiers - Academic research recruitment partnerships - Foster Campus Engagement	Students, Adademic researchers	Expand to global university networks

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College Impact • Hackathon-Built • Built for Scale

🔗 Frontend Repository: web2

“Empowering campuses with AI that sees, hears, and understands.”