The latest articles on DEV Community by Neuhaus Barsuhn (@physicsai). https://dev.to/physicsai https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3911385%2F480b5c63-2283-484b-87de-7cfc6c2e930a.jpg https://dev.to/physicsai en Neuhaus Barsuhn Mon, 04 May 2026 06:08:31 +0000 https://dev.to/physicsai/how-i-built-a-physics-ai-solver-to-visualize-complex-equations-and-help-students-1hhe https://dev.to/physicsai/how-i-built-a-physics-ai-solver-to-visualize-complex-equations-and-help-students-1hhe <p>Physics has always been one of those subjects that feels like a maze of invisible forces and abstract variables. To make learning more intuitive, I recently launched<a href="https://physicsai.chat" rel="noopener noreferrer"> ​Physics AI Slover</a>​, a specialized platform designed to provide step-by-step solutions and visual derivations for students struggling with mechanics, electromagnetism, and thermodynamics.<br> The motivation behind this project was simple: most AI models give you a text-based answer, but physics is inherently visual. You can't truly understand a pulley system or a circuit loop without seeing the vectors and the flow. By integrating advanced reasoning models with a focus on educational clarity, I wanted to build a tool that doesn't just "give the answer," but actually teaches the underlying logic.<br> Why "Solver Mode" and "Tutor Mode" Matter<br> One of the core challenges in EdTech is balancing convenience with actual learning. In building this tool, I implemented two distinct paths for users.</p> <p>Solver Mode is for that 2 AM panic when you just need to check if your final numerical result is correct. It’s fast, precise, and gets straight to the point.<br> Tutor Mode, however, is where the real value lies. It uses a Socratic approach to ask leading questions, helping users build a mental model of the problem instead of just copying a derivation.</p> <p>The Technical Hurdle: Visualizing the Invisible<br> From a development perspective, the hardest part wasn't the LLM integration—it was the visualization engine. When a student uploads a photo of a messy, hand-drawn free-body diagram, the system needs to interpret those vectors correctly. We spent a lot of time fine-tuning the vision processing to ensure that gravity components, tension arrows, and friction forces aren't just recognized as "lines," but as physical entities with direction and magnitude.<br> Seeing a position-vs-time graph generated instantly from a word problem helps bridge the gap between abstract math and physical reality. It turns "formulas to memorize" into "behaviors to observe."<br> Breaking the "Black Box" of AI<br> We’ve all seen AI "hallucinate" math results. To combat this, the engine behind the site is forced to show every single step of the algebraic rearrangement. If a unit conversion happens, it’s documented. If a constant is substituted, it’s highlighted. This transparency is crucial for students who need to follow the "how" and "why" to prepare for their exams.<br> Whether you are tackling AP Physics in high school or diving into Maxwell’s equations in college, having a 24/7 study partner that can read your diagrams and explain the derivation is a game-changer. I'm looking forward to hearing feedback from this community on how we can further improve the accuracy of the vector analysis and the overall user experience!<br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fuj1auy8pdwz6iruoi4pm.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fuj1auy8pdwz6iruoi4pm.png" alt="Physics AI interface screenshot" width="800" height="559"></a></p> ai showdev webdev education Neuhaus Barsuhn Mon, 04 May 2026 06:08:31 +0000 https://dev.to/physicsai/how-i-built-a-physics-ai-solver-to-visualize-complex-equations-and-help-students-o5o https://dev.to/physicsai/how-i-built-a-physics-ai-solver-to-visualize-complex-equations-and-help-students-o5o <p>Physics has always been one of those subjects that feels like a maze of invisible forces and abstract variables. To make learning more intuitive, I recently launched<a href="https://physicsai.chat" rel="noopener noreferrer"> ​Physics AI Slover</a>​, a specialized platform designed to provide step-by-step solutions and visual derivations for students struggling with mechanics, electromagnetism, and thermodynamics.<br> The motivation behind this project was simple: most AI models give you a text-based answer, but physics is inherently visual. You can't truly understand a pulley system or a circuit loop without seeing the vectors and the flow. By integrating advanced reasoning models with a focus on educational clarity, I wanted to build a tool that doesn't just "give the answer," but actually teaches the underlying logic.<br> Why "Solver Mode" and "Tutor Mode" Matter<br> One of the core challenges in EdTech is balancing convenience with actual learning. In building this tool, I implemented two distinct paths for users.</p> <p>Solver Mode is for that 2 AM panic when you just need to check if your final numerical result is correct. It’s fast, precise, and gets straight to the point.<br> Tutor Mode, however, is where the real value lies. It uses a Socratic approach to ask leading questions, helping users build a mental model of the problem instead of just copying a derivation.</p> <p>The Technical Hurdle: Visualizing the Invisible<br> From a development perspective, the hardest part wasn't the LLM integration—it was the visualization engine. When a student uploads a photo of a messy, hand-drawn free-body diagram, the system needs to interpret those vectors correctly. We spent a lot of time fine-tuning the vision processing to ensure that gravity components, tension arrows, and friction forces aren't just recognized as "lines," but as physical entities with direction and magnitude.<br> Seeing a position-vs-time graph generated instantly from a word problem helps bridge the gap between abstract math and physical reality. It turns "formulas to memorize" into "behaviors to observe."<br> Breaking the "Black Box" of AI<br> We’ve all seen AI "hallucinate" math results. To combat this, the engine behind the site is forced to show every single step of the algebraic rearrangement. If a unit conversion happens, it’s documented. If a constant is substituted, it’s highlighted. This transparency is crucial for students who need to follow the "how" and "why" to prepare for their exams.<br> Whether you are tackling AP Physics in high school or diving into Maxwell’s equations in college, having a 24/7 study partner that can read your diagrams and explain the derivation is a game-changer. I'm looking forward to hearing feedback from this community on how we can further improve the accuracy of the vector analysis and the overall user experience!<br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fuj1auy8pdwz6iruoi4pm.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fuj1auy8pdwz6iruoi4pm.png" alt="Physics AI interface screenshot" width="800" height="559"></a></p> ai showdev webdev education