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Project domain agreement (Date: 08.04.2025)
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Designing a MAS using an AOSE methodology (Demonstration date: 24.04.2025)
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Implementing the first agent(s) using JADE/SPADE (Demonstration date: 06.05.2025)
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Implementing the designed MAS using a MAS framework (Demonstration dates: 20.05.2025 and 22.05.2025)
- Aurora Agent System
An agent system to predict and notify users about aurora borealis (northern lights) viewing opportunities:
- Weather Monitoring Agent: Tracks cloud cover, precipitation, and atmospheric conditions
- Space Weather Agent: Monitors solar activity, coronal mass ejections, and geomagnetic conditions
- Location Analysis Agent: Evaluates user locations for light pollution, viewing angles, and accessibility
- Prediction Agent: Combines data from other agents to calculate aurora visibility probability
- Notification Agent: Alerts users based on their preferences and the prediction confidence levels
- Feedback Collection Agent: Gathers user reports on actual aurora sightings to improve the system
- Grocery Price Comparison and Search Execution System
A system to help users optimize grocery shopping across different stores:
- Store Catalog Agent: Collects and maintains price data from K-market, S-market, and Lidl
- Receipt Analysis Agent: Processes uploaded receipts to track purchase history and preferences
- Shopping List Agent: Manages user's needed items and generates optimized lists
- Price Comparison Agent: Finds the best deals across stores for specific items
- Route Optimization Agent: Determines the most efficient shopping route if visiting multiple stores
- Recommendation Agent: Suggests alternative products or timing based on price trends
- Budget Tracking Agent: Monitors spending patterns and helps users stay within budget
- HR CV Processing System
A system to automate and enhance the resume screening process:
- Document Parsing Agent: Extracts structured information from various CV formats
- Skills Matching Agent: Compares candidate skills with job requirements
- Experience Evaluation Agent: Analyzes work history relevance and depth
- Education Assessment Agent: Evaluates academic qualifications and certifications
- Candidate Ranking Agent: Scores and prioritizes applicants based on multiple criteria
- Bias Detection Agent: Identifies and mitigates potential biases in the selection process
- Interview Recommendation Agent: Suggests specific questions based on CV analysis
- Communication Agent: Interfaces with candidates for additional information or updates
- Deal Finder with Local Markets
A system to identify and notify users about deals in local physical markets:
- Deal Collection Agent: Gathers information about sales and promotions from various sources
- User Preference Agent: Maintains profiles of user interests and shopping patterns
- Location Awareness Agent: Tracks user location to identify nearby opportunities
- Relevance Scoring Agent: Ranks deals based on user preferences, price, and proximity
- Notification Agent: Alerts users about relevant deals with appropriate timing
- Feedback Analysis Agent: Learns from user interactions with previous deal notifications
- Social Validation Agent: Aggregates community feedback on the quality of deals
- Expiration Tracking Agent: Monitors time-limited offers to ensure timely notifications
- Research Assistant Multi-Agent System
A system of specialized agents that collaborate to conduct comprehensive literature reviews:
- Query Agent: Interfaces with users, understands research questions, and coordinates other agents
- Search Agent: Collects papers from various academic databases and repositories
- Analysis Agent: Reads and summarizes papers, extracts key findings
- Synthesis Agent: Combines findings across papers, identifies patterns and contradictions
- Writing Agent: Produces a coherent literature review based on gathered information
- Intelligent Travel Planning System
Agents that work together to create personalized travel itineraries:
- User Preference Agent: Gathers and maintains traveler preferences
- Destination Research Agent: Collects information about potential destinations
- Accommodation Agent: Searches for and evaluates lodging options
- Transportation Agent: Plans optimal routes and connections
- Activity Agent: Suggests attractions and experiences based on preferences
- Budget Agent: Optimizes choices to stay within financial constraints