Mob-1 Development of an Intelligent and Interactive Mobile Application for Real-Time Monitoring and Proactive Management of Environmental Parameters, Integrating Predictive Mechanisms and Alert Notifications for Efficient Energy Optimization Technologies PFE

Project overview

• Develop an intelligent and interactive mobile application for real-time monitoring and proactive management of environmental parameters to support efficient energy optimization technologies.
• The solution integrates predictive mechanisms and alert notifications to anticipate anomalies and enable corrective actions before energy waste occurs.

Key responsibilities

• Implement the mobile front-end using Ionic (framework based on Angular) to provide dashboards, visualizations, interactive controls and user management.
• Integrate real-time messaging and notifications using Mosquitto via the MQTT protocol and connect the mobile app to a Java-based backend for data ingestion and control flows.
• Design and integrate predictive analytics components (model integration and inference) so the application can trigger proactive alerts and suggested corrective actions.

Technical stack & implementation details

• Frontend: Ionic (Angular) for cross-platform mobile UI, responsive dashboards and interactive components.
• Backend & integration: Java for backend services and APIs; Mosquitto as the MQTT broker for publishing/subscribing telemetry and notifications; REST APIs for configuration and data queries.
• Analytics & data handling: integrate predictive analytics modules to run inference on incoming environmental data and generate alert conditions; ensure persistence of time-series/environmental data and reliable message delivery.

Expected deliverables

• A production-ready Ionic mobile application with real-time dashboards, notification handling and user flows.
• Backend integration (Java) enabling data ingestion, MQTT messaging via Mosquitto, API endpoints and integration of predictive models.
• Documentation, deployment instructions and a demo showcasing proactive alerts and energy optimization scenarios.

Candidate profile

• Technical skills: experience with Ionic/Angular, Java backend development, MQTT (Mosquitto) and basics of predictive analytics or machine learning model integration.
• Soft skills: autonomy, good communication, ability to document work and present results; experience with version control (Git) and testing is a plus.

How to apply

• Apply via the company website: https://www.hydatis.com and/or by email to stages@hydatis.fr.
• When applying by email, use the subject: "Mob-1" and include your CV, cover letter and any relevant project or code samples.