AI Concrete Mix MATLAB GUI
Budget: $30 – $250 USD
I need a MATLAB App Designer GUI that lets a user enter the desired concrete grade (K-value) and instantly returns the recommended water–cement ratio, cement weight and coal-ash addition, all calculated in line with the Indonesian SNI mix-design standard.
Behind the interface, the calculations should be driven by an Artificial Neural Network built with MATLAB’s Neural Network Toolbox. I will supply any training data you may need; what I’m looking for is a well-structured ANN model that I can retrain later if new lab results come in.
Please make the interface clean and intuitive. Tooltips should explain every input field, informative error messages must appear if the user types an impossible value, and an interactive chart should refresh on the fly to visualise how the predicted mix components compare with neighbouring grades.
Reference for the overall look and flow: https://youtu.be/ivIAgj7xEFI?si=vcth3mDrxUemA1k0
Deliverables
• MATLAB .mlapp project (App Designer)
• Commented ANN training script and saved network file
• Short read-me explaining how to retrain the network and add more features
I’ll test the app by entering several K-values and checking that the outputs match our lab-verified mix sheets within an acceptable tolerance. Once it passes this check and the interface behaves exactly as described, the job is complete.
Behind the interface, the calculations should be driven by an Artificial Neural Network built with MATLAB’s Neural Network Toolbox. I will supply any training data you may need; what I’m looking for is a well-structured ANN model that I can retrain later if new lab results come in.
Please make the interface clean and intuitive. Tooltips should explain every input field, informative error messages must appear if the user types an impossible value, and an interactive chart should refresh on the fly to visualise how the predicted mix components compare with neighbouring grades.
Reference for the overall look and flow: https://youtu.be/ivIAgj7xEFI?si=vcth3mDrxUemA1k0
Deliverables
• MATLAB .mlapp project (App Designer)
• Commented ANN training script and saved network file
• Short read-me explaining how to retrain the network and add more features
I’ll test the app by entering several K-values and checking that the outputs match our lab-verified mix sheets within an acceptable tolerance. Once it passes this check and the interface behaves exactly as described, the job is complete.