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---
title: Brock Events Assistant
emoji: 🎓
colorFrom: red
colorTo: indigo
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
license: mit
---
# 🎓 Brock University Events Assistant
An AI-powered chatbot that helps you discover events at Brock University. Using Natural Language Processing and real-time event data, this assistant provides personalized event recommendations and information.
## ✨ Features
- **Natural Language Understanding**: Ask questions in everyday language
- **Real-time Event Updates**: Fresh data from ExperienceBU's rss feed.
- **Smart Filtering**: Find events by category, date, or location
- **Responsive Interface**: User-friendly chat experience
- **Cache System**: Efficient data management
- **Automatic Updates**: Events refresh every 24 hours
## 💡 Example Questions
- "What's happening on campus this week?"
- "Are there any academic workshops tomorrow?"
- "Tell me about events in the library"
- "What club meetings are coming up?"
- "Any career fairs this month?"
## 🛠️ Technical Details
### Stack
- **Frontend**: Gradio 4.14.0
- **NLP**: Sentence Transformers (all-MiniLM-L6-v2)
- **Vector DB**: ChromaDB
- **Data Source**: ExperienceBU RSS Feed
- **Processing**: BeautifulSoup4, NLTK
### Features
- Event caching for improved performance
- 14-day event window for relevance
- Natural language response generation
- Context-aware query understanding
- Automatic data refresh system
## 📊 Performance
- Processes next 14 days of events
- Response time: ~2-3 seconds
- Cache updates: Every 24 hours
- Memory usage: ~500MB
## 🚀 Development
1. Clone the repository
2. Install dependencies: `pip install -r requirements.txt`
3. Run locally: `python app.py` or on google colab (Remember to !pip install required repositories)!
## 📝 License
MIT License - See LICENSE file
## 🔗 Links
- [ExperienceBU](https://experiencebu.brocku.ca/events)
## 👥 Contributing
Contributions welcome! Please check the issues page.
## 📫 Contact
Created by Aryan J - Feel free to connect!
- [LinkedIn](https://www.linkedin.com/in/aryanjhaveri/)
# Brock Events Assistant: Development Roadmap & Analysis
## Current Limitations
### 1. Time Window Constraints
- Limited to 14-day window for event fetching
- No historical event data available
- Can't handle queries about past events
- No long-term event planning capabilities
### 2. Search and Response Limitations
- Basic semantic search without context awareness
- Responses are template-based and lack conversational flow
- No memory of previous interactions within the conversation
- Limited understanding of complex queries
- No handling of follow-up questions
### 3. Technical Constraints
- Single RSS feed dependency
- Basic caching system
- No real-time updates
- Limited error recovery
- No user preferences or personalization
## Next Steps
1. Begin with conversation memory implementation
2. Enhance query understanding
3. Implement basic categorization
4. Add simple personalization features
5. Plan for expanded time window
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