
Ebeschya developed a series of automation and simulation features for the soomrack/MR2025 repository, focusing on embedded systems and C++ programming. Over three months, they built a personal finance simulator modeling long-term scenarios, an autonomous Omega Bot capable of line following and sound-based interaction, and a greenhouse automation system that dynamically adjusts climate thresholds based on seasonal sensor data. Their technical approach emphasized reusable C++ scaffolding, clear commit histories, and integration of Arduino programming for IoT development. The work demonstrated depth in both simulation and real-world automation, delivering maintainable solutions without reported defects and supporting future extensibility within the codebase.
December 2025: Delivered Greenhouse Automation System with Seasonal Threshold Adjustments for the MR2025 project. The module automatically maintains optimal growing conditions by monitoring temperature, humidity, light, and soil moisture from sensors and driving pumps, lights, and heaters through predefined thresholds. Seasonal adjustments dynamically modify these thresholds to sustain ideal conditions across all seasons. The work included initial feature scaffolding and incremental updates to teplica.ino, aligning with the repo's automation goals and enabling hands-off cultivation management.
December 2025: Delivered Greenhouse Automation System with Seasonal Threshold Adjustments for the MR2025 project. The module automatically maintains optimal growing conditions by monitoring temperature, humidity, light, and soil moisture from sensors and driving pumps, lights, and heaters through predefined thresholds. Seasonal adjustments dynamically modify these thresholds to sustain ideal conditions across all seasons. The work included initial feature scaffolding and incremental updates to teplica.ino, aligning with the repo's automation goals and enabling hands-off cultivation management.
November 2025 monthly summary for soomrack/MR2025: Delivered the Omega Bot featuring line-following navigation and sound interaction. The new bot, named 'omega', can autonomously follow lines and respond to sound requests (e.g., SOS signals and happy notes), leveraging motor controls and sound generation to navigate and communicate. This adds tangible interactive capabilities for demonstrations and deployments, expanding automation potential and user engagement. No major bugs fixed this month; the feature scope was delivered with clean integration and no regressions observed in the existing pipeline.
November 2025 monthly summary for soomrack/MR2025: Delivered the Omega Bot featuring line-following navigation and sound interaction. The new bot, named 'omega', can autonomously follow lines and respond to sound requests (e.g., SOS signals and happy notes), leveraging motor controls and sound generation to navigate and communicate. This adds tangible interactive capabilities for demonstrations and deployments, expanding automation potential and user engagement. No major bugs fixed this month; the feature scope was delivered with clean integration and no regressions observed in the existing pipeline.
Monthly summary for 2025-09 focusing on MR2025 in soomrack/MR2025. Delivered foundational C++ scaffolding and a basic simulation prototype, with a clear, traceable commit history. No major defects reported this month; work concentrated on establishing reusable templates and a demonstrable baseline for future features and scenario analysis.
Monthly summary for 2025-09 focusing on MR2025 in soomrack/MR2025. Delivered foundational C++ scaffolding and a basic simulation prototype, with a clear, traceable commit history. No major defects reported this month; work concentrated on establishing reusable templates and a demonstrable baseline for future features and scenario analysis.

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