Samsung AI Smart Stove
AI-powered smart stove that prioritizes kitchen safety with real-time hazard detection, automatic shut-off, and smart home integration.
Product Experience
Problem Space
Problem Statement
“How might we leverage AI to enhance kitchen safety while maintaining user control and energy efficiency?”
Problem Background
Kitchen accidents account for 32% of house fires in Canada, often caused by unattended cooking, overheating, and gas leaks. While existing smart stoves provide remote control features, they lack proactive AI-driven safety mechanisms.
Research Insights & User Pain Points
- User Trust Issues: 16.3% of users distrust full AI control.
- Lack of Multi-User Adaptation: Families need AI that adapts to multiple cooking styles.
- No Fail-Safes for Edge Cases: Users worry about power outages and forgotten alerts.
Supporting Data
- 85% of surveyed users want AI-powered hazard detection over manual alerts.
- 70% of smart home users are interested in AI-assisted cooking automation.
Feedback
“Our user research with families and rental property owners revealed a strong demand for automated hazard prevention rather than just remote monitoring.”
Landing on the Solution
Explanation of Solution
- AI-powered hazard detection (smoke, overheating, gas leaks).
- Automated safety shut-off within 3 seconds of detecting a hazard.
- Smart home integration with Samsung SmartThings, Alexa, and Google Home.
- Multi-user learning to adapt to different cooking habits.
After showcasing our prototype, 81.6% of users felt comfortable with AI automation after testing safety override options.
User Flows & Mockups
User Flow: See link for mock-ups and prototype
Future Steps & Expansion
✅ Commercial scalability: Multi-stove integration for restaurants and rental properties.
✅ Energy efficiency optimization: AI-powered heat control to reduce energy waste.
✅ Smart Home Expansion: Support for Apple HomeKit & Matter compatibility.
✅ Trust-building features: Gradual AI learning mode + manual override transparency.
Images & Marketing Assets


Learnings
Product Manager Learnings:
Arnold Segine
🚀 Balancing AI automation & user control is key to adoption.
🛠 Fail-safes & edge cases (power outages, false alarms) are critical for safety products.
📊 User trust in AI requires transparent alerts and manual override options.
Designer Learnings:
Designer Learnings:
Jo Sturdivant
- Adapting to an Established Team: Joining the team in week 6 of 8 was challenging, as I had to quickly adapt to existing workflows, dynamics, and goals. This mirrors real-world situations where you often integrate into teams mid-project, and flexibility is essential.
- Work-Blocking for Efficiency: With only two weeks to complete the project, I learned the importance of a structured work-blocking system. This approach allowed me to manage my time effectively and meet deadlines under pressure.
- Making Data-Driven Design Decisions: Unlike my past projects, I had to rely on research conducted by others. This was a valuable experience in using pre-existing data to guide design decisions, helping me focus on the core insights without starting from scratch.
Developer Learnings:
Developer Learnings:
Vanady Beard
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As the back-end developer, I learned how important it is to create efficient and reliable systems that support the entire application. This experience also taught me the importance of optimising the database and ensuring the backend is scalable and easy to maintain.
Developer Learnings:
Stephen Asiedu
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As a back-end developer, I've come to understand the importance of being familiar with various database systems and modules. This knowledge enables me to build diverse applications and maintain versatility in my work. I've also learned that the responsibility for making the right choices rests on my shoulders, guided by my best judgement.
Developer Learnings:
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Developer Learnings:
Maurquise Williams
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- Process of Creating an MVP: Developing a Minimum Viable Product (MVP) taught me how to focus on delivering core functionalities balancing between essential features and avoiding scope creep.
- Collaboration in a Real-World Tech Setting: This experience taught me how to collaborate efficiently in a fast-paced tech environment, keeping the team aligned and productive, even while working remotely across time zones.
- Sharpening Critical Thinking and Problem-Solving Skills: This experience honed my ability to think critically and solve problems efficiently. By tackling challenges and finding quick solutions, I sharpened my decision-making and troubleshooting skills in a dynamic, real-world setting.
Developer Learnings:
Jeremiah Williams
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All in all this experience was very awesome I learned that in coding with others being transparent is key
Developers Learnings:
Justin Farley
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I learned how important communication is when working with a team. Communication provides understanding, advice, ideas, and much more. While working with the product team, I’ve found that communication keeps everything flowing smoothly. Working with a team also showed me that every member brings something different to the table and we all have to work together in order to align and meet our end goal.