Google Summer of code Ideas

1. Matrix Client for University Community (Official Communication Platform)

Description: Develop a feature-rich Matrix client specifically tailored for UGR students, faculty, and staff, integrating with existing university systems.

• Features:
  • University authentication (OAuth2 with UGR accounts)
  • Automatic room creation for courses and departments
  • Integration with academic calendar and timetable
  • File sharing with university storage services
  • Emergency notifications system
  • E2E encryption for sensitive communications
  • Bridge to existing platforms (Telegram, Moodle forums)
• Technologies: React/Electron, Matrix SDK, Python backend
• Difficulty: Medium-High

2. Intelligent Chatbot for Moodle Integration (PRADO)

Description: Create an AI-powered chatbot that interacts with Moodle to assist students and professors.

• Features:
  • Natural language queries about grades, deadlines, and course content
  • Personalized study recommendations based on performance
  • Automated Q&A from course materials
  • Integration with assignment submission and feedback
  • Multi-language support (Spanish, English, etc.)
  • Privacy-first design (local processing where possible)
• Technologies: Python, NLP libraries (spaCy, NLTK), Moodle API, Rasa/FastAPI
• Difficulty: Medium

3. UGR Open Source Contributor Dashboard

Description: A platform to track and encourage open source contributions within the university community.

• Features:
  • GitHub/GitLab integration for contribution tracking
  • Badge system for different contribution levels
  • Project discovery tailored to student skills
  • Mentorship matching between experienced and new contributors
  • Integration with academic recognition (ECTS, certifications)
• Technologies: Django/Flask, OAuth, React frontend
• Difficulty: Medium

4. Sustainable Computing Resource Monitor

Description: A dashboard to monitor and optimize energy consumption of university computing resources.

• Features:
  • Real-time monitoring of lab computers and servers
  • AI-powered recommendations for energy savings
  • Carbon footprint calculations
  • Integration with scheduling systems to power down unused resources
  • Educational component showing environmental impact
• Technologies: Python, IoT sensors, Grafana, Machine Learning
• Difficulty: High