MineSafe Sentinel is an Agentic AI ecosystem designed for Johannesburg’s deep-level mining sector. It employs autonomous agents to monitor real-time sensor data and technician logs. Unlike static dashboards, these agents proactively coordinate emergency responses, order critical safety parts via ERP integration, and update risk assessments instantly, significantly reducing downtime and enhancing worker safety in volatile underground environments.

Key Highlights :-

• Tools/Technology: Python, LangGraph (Multi-agent orchestration), Google Gemini 1.5 Pro, MQTT for IoT, and Pinecone Vector Database.
• Autonomous Coordination: Agents independently trigger maintenance tickets based on predictive failure patterns.
• Real-Time Data Synthesis: Merges unstructured voice-notes from miners with structured telemetry for instant reporting.
• Compliance Automation: Automatically aligns operational actions with the South African Mine Health and Safety Act.
• Edge Deployment: Optimized for low-latency performance on local Gauteng-based private cloud infrastructure.

This project transforms Johannesburg’s property market by deploying Generative AI agents that manage the end-to-end tenant lifecycle. From generating hyper-realistic 3D virtual tours of Sandton apartments to autonomously negotiating lease terms based on current market trends, these agents act as digital brokers. They integrate with municipal data to provide instant, accurate utility cost projections for prospective buyers.

Key Highlights :-

• Tools/Technology: OpenAI GPT-4o, CrewAI (Agentic Framework), React.js, Google Maps API, and Johannesburg Open Data Portal.
• Hyper-Local Intelligence: Provides suburb-specific insights, including Gautrain proximity and local load-shedding schedules.
• Automated Negotiation: Agents are programmed with "broker personas" to handle initial tenant vetting and document collection.
• Real-Time Utility Intelligence:Real-time agents calculate load-shedding and utility costs using City Power data.
• FICA/POPIA Compliance: Specialized agents verify identification and handle personal data under South African legal frameworks.

FinSync is an advanced financial agent designed for the city's fintech hub. It uses Generative AI to simulate complex fraud scenarios and Agentic AI to actively "hunt" for anomalies in real-time transaction streams. The system automates the reconciliation of multi-currency accounts and generates compliant financial reports, allowing local SMEs to manage high-velocity cash flows with institutional-grade precision.

Key Highlights :-

• Tools/Technology: Llama 3.1 (Fine-tuned for Finance), AutoGen, Apache Kafka (Streaming), and Streamlit for executive dashboards.
• Proactive Threat Hunting: Agents move beyond alerts to freeze suspicious accounts or request biometrics autonomously.
• Synthetic Data Generation: Uses GenAI to create vast datasets of fraudulent patterns to train more robust detection models.
• SARB Reporting: Automatically drafts regulatory reports for the South African Reserve Bank based on identified transaction flags.
• Scalable Architecture: Built to handle the high mobile search volume and network variability typical of the Gauteng business corridor.