Interactive Campus Q&A Bot

Interactive Campus Q&A Bot

Abstract: The Interactive Campus Q&A Bot is designed to assist students and staff by providing instant answers to campus-related queries. It features:

  1. Natural Language Understanding: Interprets and responds to natural language questions about campus life, events, and services.
  2. Context-Aware Responses: Offers contextually relevant answers based on the user’s current situation or location.
  3. Real-Time Information Access: Provides up-to-date information on campus events, schedules, and services. The Interactive Campus Q&A Bot enhances the campus experience by providing quick, accurate, and personalized information.

Software Requirements

  1. Operating System:
    • Windows 10 or later, macOS, or Linux
  2. Programming Languages:
    • Python 3.8+: For backend and natural language processing.
    • JavaScript (React.js): For front-end development.
  3. Frameworks and Libraries:
    • NLTK or spaCy: For natural language understanding.
    • Flask or Django: For API development.
    • React.js: For the user interface.
  4. Integrated Development Environment (IDE):
    • Visual Studio Code, PyCharm, or Jupyter Notebook.
  5. API and Backend Tools:
    • FastAPI or Flask: For RESTful APIs.
    • Docker: For containerization.
    • Git: For version control.
  6. Database:
    • PostgreSQL or MongoDB: For storing FAQs and user interactions.
  7. Cloud Platform (Optional):
    • AWS or Google Cloud: For hosting and scalability.

Hardware Requirements

  1. Development Machine:
    • Processor: Intel i5 or AMD Ryzen 5 or higher
    • RAM: 16 GB minimum (32 GB recommended)
    • Storage: SSD with at least 500 GB
    • GPU: Optional, but an NVIDIA GPU (e.g., RTX 3060) can accelerate development.
  2. Server Hardware:
    • Processor: Intel Xeon or AMD EPYC
    • RAM: 64 GB minimum (128 GB recommended)
    • Storage: NVMe SSD with at least 1 TB
    • GPU: High-performance GPU like NVIDIA A100
  3. Cloud-based Infrastructure:
    • AWS EC2 P3 instances or equivalent.

Additional Considerations

  • Response Accuracy: Regularly update the bot’s knowledge base to ensure accurate and relevant responses to student inquiries.
  • Data Retention: Implement clear policies on how long student interactions are stored and ensure compliance with privacy regulations.
  • Scalability: Plan for increased usage during peak periods like the start of the academic year.