Academic Assistant with Teachable Machine

{"name":"Academic - COPY","description":"","photo":"https://res.cloudinary.com/dzv7hjwfn/image/upload/wp34vi2f3bhqwndqcoco","view_count":2,"fork_count":0,"expires_at":null,"created_at":"2025-12-01T22:52:46.674713Z","updated_at":"2025-12-01T22:52:46.674714Z","user_id":166,"status":"PRIVATE","parent_id":10668,"id":10725,"user":{"username":"m_ivlev","id":166,"password_hash":"$2b$12$lM.SwMhsrEJrs7ZjNyj9e.FOyWqAZgNBSeOEkB8gCGEsXkmGPZLu6","created_at":"2024-08-05T03:36:08.774307Z","reset_token":null,"stripe_customer_id":null,"seats":null,"photo":null,"email":"markivlev@gmail.com","recess_id":"38a987b1-569d-47cc-ae61-0c84198aa65c","updated_at":"2024-08-05T03:36:08.774314Z","reset_token_expiry":null,"subscription_status":null},"code":{"script.js":"const URL = \"https://teachablemachine.withgoogle.com/models/YYBlWHJWc/\";\n\nlet model, labelContainer, maxPredictions;\n\nlet score = 0;\n\nlet correctAnswer = 0;\n\nfunction setup() {\n createCanvas(280, 280);\n background(255);\n\n eraser = select(\"#eraser\");\n\n init(); // Automatically initialize the model when the project runs\n console.log(\"Model initialization started.\");\n}\n\nfunction draw() {\n strokeWeight(12);\n if (eraser.checked())\n stroke(255)\n else\n stroke(0);\n if (mouseIsPressed) {\n line(pmouseX, pmouseY, mouseX, mouseY);\n }\n}\n\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n // Load the model and metadata\n model = await tmImage.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n console.log(\"Model and metadata loaded successfully.\");\n\n // Setup the label container for predictions\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) { // and class labels\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n\ngenerateEquation();\n\nfunction updateScore(value) {\n score += value; // Increment the score by the value passed\n document.getElementById(\"score\").innerText = score; // Update the score display\n console.log(`Score updated: ${score}`);\n}\n\nfunction clearCanvas() {\n background(255); // Reset background to white\n console.log(\"Canvas cleared.\");\n}\n\nfunction generateEquation() {\n const num1 = Math.floor(Math.random() * 10) + 1; // Random number between 1 and 10\n const num2 = Math.floor(Math.random() * 10) + 1;\n\n // Randomly decide which part of the equation to hide and set the correct answer\n const missingPart = Math.floor(Math.random() * 3);\n let equation = \"\";\n\n if (missingPart === 0) {\n correctAnswer = num1; // The first number is missing\n equation = `_ * ${num2} = ${num1 * num2}`; // Display the equation with the actual answer\n } else if (missingPart === 1) {\n correctAnswer = num2; // The second number is missing\n equation = `${num1} * _ = ${num1 * num2}`; // Display the equation with the actual answer\n } else {\n correctAnswer = num1 * num2; // The result is missing\n equation = `${num1} * ${num2} = _`; // Display the equation with the actual answer\n }\n\n // Display the equation in the HTML\n const equationContainer = document.getElementById(\"equation-container\");\n equationContainer.innerText = equation;\n\n console.log(`Generated equation: ${equation} (Correct answer: ${correctAnswer})`); // Log the equation and the correct answer\n}\n\nasync function predictDrawing() {\n console.log(\"Prediction started.\");\n\n // Create a canvas element for the drawing\n const drawingCanvas = document.createElement('canvas');\n drawingCanvas.width = width;\n drawingCanvas.height = height;\n const ctx = drawingCanvas.getContext('2d');\n\n // Set the background to white\n ctx.fillStyle = '#FFF';\n ctx.fillRect(0, 0, drawingCanvas.width, drawingCanvas.height);\n\n // Draw the current drawing onto the canvas (using the p5.js canvas)\n ctx.drawImage(canvas, 0, 0); // Capture the current canvas\n\n // Use the Teachable Machine model to predict based on the drawn image\n const prediction = await model.predict(drawingCanvas);\n console.log(\"Prediction results received:\", prediction);\n\n // Find the highest probability prediction\n let highestPrediction = prediction[0];\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Map class names to numeric values\n const classNameToNumber = {\n 'zero': 0,\n 'one': 1,\n 'two': 2,\n 'three': 3,\n 'four': 4,\n 'five': 5,\n 'six': 6,\n 'seven': 7,\n 'eight': 8,\n 'nine': 9\n };\n\n // Get the predicted value using the mapping\n const predictedValueString = highestPrediction.className; // Get the class name\n const predictedValue = classNameToNumber[predictedValueString]; // Convert class name to number\n console.log(`Predicted value: ${predictedValue}, Correct answer: ${correctAnswer}`);\n\n if (predictedValue === correctAnswer) {\n updateScore(1); // Increase the score by 1\n generateEquation(); // Generate a new equation\n clearCanvas(); // Clear the canvas for a fresh drawing\n console.log(\"Prediction correct! Score increased.\");\n } else {\n clearCanvas(); // Clear the canvas for another attempt\n console.log(\"Prediction incorrect. Try again.\");\n }\n\n // Update the label container with predictions\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction; // Update labels with predictions\n }\n}\n\n","style.css":"html,\r\nbody {\r\n margin: 20px;\r\n padding: 0;\r\n font-family: Arial, Helvetica, sans-serif;\r\n background-color: #EEE;\r\n}\r\n\r\ncanvas {\r\n display: block;\r\n margin-bottom: 20px;\r\n}\r\n\r\n#score-container {\r\n position: absolute;\r\n top: 20px;\r\n left: 50%;\r\n transform: translateX(-50%);\r\n font-size: 24px;\r\n font-weight: bold;\r\n color: #333;\r\n}\r\n\r\n#image-container {\r\n position: absolute;\r\n right: 400px;\r\n top: 80px;\r\n}\r\n\r\n#image-container img {\r\n width: 400px;\r\n height: auto;\r\n}\r\n\r\n#equation-container {\r\n position: absolute;\r\n right: 200px;\r\n top: 80px;\r\n font-size: 64px;\r\n font-weight: bold;\r\n color: #333;\r\n}","index.html":"\n\n\n\n \n \n Academic Assistant with Teachable Machine\n \n \n \n \n \n\n\n\n

Teachable Machine Image Model

\n\n

Score: 0

\n \n Eraser\n\n \n

\n\n \n\n\n"},"chat_history":[{"code_id":297843,"sender":"client_script","deleted":0,"input_tokens":null,"id":183476,"message":"Let's get started!\n Errors:\n","project_id":10725,"created_at":"2025-12-02T00:58:19.687288Z","output_tokens":null},{"code_id":297843,"sender":"ai","deleted":0,"input_tokens":3391,"id":183477,"message":"Great! Could you tell me a bit more about your project idea? What kind of project are you building? Are you looking to create a game, a website, an animation, or perhaps a simulation? Let me know so we can tailor the development process to your goals!","project_id":10725,"created_at":"2025-12-02T00:58:19.801861Z","output_tokens":62},{"code_id":297843,"sender":"human","deleted":0,"input_tokens":null,"id":183478,"message":"Create a way to generate simple math equations with one part missing. For example, \"3 * _ = 12\". The underscore represents a blank that the user will need to fill in. Display the equation instead of the P1 asset, which is just a placeholder.","project_id":10725,"created_at":"2025-12-02T01:00:09.965134Z","output_tokens":null},{"code_id":297843,"sender":"ai","deleted":0,"input_tokens":3440,"id":183479,"message":"

\n# Reasoning\nThe student wants to generate and display simple math equations with one part missing and display these equations in place of the current image placeholder on their webpage. This is a feasible task and can be achieved using JavaScript to generate random equations and then display them in the HTML.\n

\n\n

\n# Answer: \n

\n\nSure, we can replace the placeholder image with a randomly generated math equation. Let's start by adding some JavaScript code to create and display these equations. \n\nTo generate simple math equations, we'll write a function that creates an equation with a missing part and then randomly displays it on the webpage. Let's update the code to achieve this.\n\n### Step 1: Update HTML\n\nFirst, let's replace the placeholder image with a div where we will display the equation.\n\n```html\n\n\n\n\n \n \n Academic Assistant with Teachable Machine\n \n \n \n \n \n\n\n\n

Teachable Machine Image Model

\n\n

\n \n Eraser\n\n \n

\n\n \n\n\n\n```\n\n### Step 2: Add JavaScript Function\n\nNext, let's create a function in `script.js` that generates a random simple math equation and displays it.\n\n```javascript\n// script.js\n\nfunction generateEquation() {\n const num1 = Math.floor(Math.random() * 10) + 1; // Random number between 1 and 10\n const num2 = Math.floor(Math.random() * 10) + 1;\n const result = num1 * num2;\n\n // Randomly decide which part of the equation to hide\n const missingPart = Math.floor(Math.random() * 3);\n\n let equation = \"\";\n if (missingPart === 0) {\n equation = `_ * ${num2} = ${result}`;\n } else if (missingPart === 1) {\n equation = `${num1} * _ = ${result}`;\n } else {\n equation = `${num1} * ${num2} = _`;\n }\n\n // Display the equation in the HTML\n const equationContainer = document.getElementById(\"equation-container\");\n equationContainer.innerText = equation;\n}\n\n// Call the function to generate and display the equation\ngenerateEquation();\n```\n\n### Explanation:\n- **HTML Update**: The `

` with `id=\"image-container\"` is replaced with a `

` with `id=\"equation-container\"` where the equation will be displayed.\n- **JavaScript Function**: \n - Generates two random numbers and calculates their product.\n - Randomly decides which part of the equation to make missing.\n - Updates the `equation-container` in the HTML with the generated equation.\n\nThis setup will display a simple math equation with one missing part each time the page is loaded or refreshed. Let me know if you need further customization!","project_id":10725,"created_at":"2025-12-02T01:00:10.087150Z","output_tokens":866},{"code_id":297898,"sender":"human","deleted":0,"input_tokens":null,"id":183480,"message":"Display the equations on the right side of the screen in large bold text","project_id":10725,"created_at":"2025-12-02T01:01:14.085486Z","output_tokens":null},{"code_id":297898,"sender":"ai","deleted":0,"input_tokens":3579,"id":183481,"message":"To display the equations on the right side of the screen in large, bold text, we'll need to make some changes to your CSS file. We'll update the styles for the `equation-container` to position it correctly and apply the desired text styling.\n\nHere's how you can do it:\n\n### Step 1: Update CSS\n\nModify the `style.css` file to style the `equation-container`.\n\n```css\n/* style.css */\nhtml,\nbody {\n margin: 20px;\n padding: 0;\n font-family: Arial, Helvetica, sans-serif;\n background-color: #EEE;\n}\n\ncanvas {\n display: block;\n margin-bottom: 20px;\n}\n\n#image-container {\n position: absolute;\n right: 400px;\n top: 80px;\n}\n\n#image-container img {\n width: 400px;\n height: auto;\n}\n\n#equation-container {\n position: absolute;\n right: 20px; /* Position the equation container on the right */\n top: 80px; /* Align it vertically with the canvas */\n font-size: 24px; /* Large text size */\n font-weight: bold; /* Bold text */\n color: #333; /* Dark text color for better contrast */\n}\n```\n\n### Explanation:\n- **Positioning**: The equation container is positioned absolutely on the right side of the screen, with `right: 20px`.\n- **Styling**: The font size is set to `24px` for large text, and `font-weight: bold` makes the text bold. The color is set to a dark gray for readability.\n\n### Step 2: Ensure HTML Structure\n\nMake sure your HTML has the `equation-container` where the equations will be displayed:\n\n```html\n\n\n\n\n \n \n Academic Assistant with Teachable Machine\n \n \n \n \n \n\n\n\n

Teachable Machine Image Model

\n\n

\n \n Eraser\n\n \n

\n\n \n\n\n\n```\n\nThis setup will ensure that your equations are displayed on the right side of the screen in large, bold text. Let me know if there's anything else you'd like to adjust!","project_id":10725,"created_at":"2025-12-02T01:01:14.297817Z","output_tokens":665},{"code_id":297905,"sender":"human","deleted":0,"input_tokens":null,"id":183482,"message":"Add a score in centered at the top of the screen ","project_id":10725,"created_at":"2025-12-02T01:04:37.417901Z","output_tokens":null},{"code_id":297905,"sender":"ai","deleted":0,"input_tokens":3622,"id":183483,"message":"To add a score display centered at the top of the screen, we'll need to follow these steps:\n\n1. Update the HTML to include a new `

` for the score.\n2. Modify the CSS to style this score display, centering it at the top.\n3. Add JavaScript to manage the score, including a way to initialize and update it.\n\n### Step 1: Update HTML\n\nAdd a new `

` for the score display in your `index.html` file.\n\n```html\n\n\n\n\n \n \n Academic Assistant with Teachable Machine\n \n \n \n \n \n\n\n\n

Teachable Machine Image Model

\n\n

Score: 0

\n \n Eraser\n\n \n

\n\n \n\n\n\n```\n\n### Step 2: Update CSS\n\nNext, we'll style the score display in your `style.css` file.\n\n```css\n/* style.css */\nhtml,\nbody {\n margin: 20px;\n padding: 0;\n font-family: Arial, Helvetica, sans-serif;\n background-color: #EEE;\n}\n\ncanvas {\n display: block;\n margin-bottom: 20px;\n}\n\n#score-container {\n position: absolute;\n top: 20px; /* Position at the top */\n left: 50%; /* Center horizontally */\n transform: translateX(-50%); /* Adjust to truly center */\n font-size: 24px; /* Font size for the score */\n font-weight: bold; /* Make the score bold */\n color: #333; /* Dark color for visibility */\n}\n\n#image-container {\n position: absolute;\n right: 400px;\n top: 80px;\n}\n\n#image-container img {\n width: 400px;\n height: auto;\n}\n\n#equation-container {\n position: absolute;\n right: 20px;\n top: 80px;\n font-size: 24px; /* Keep the equation text a reasonable size */\n font-weight: bold;\n color: #333;\n}\n```\n\n### Step 3: Update JavaScript\n\nNow, let's add a score variable and a function to update the score in your `script.js` file.\n\n```javascript\n// script.js\nlet score = 0; // Initialize score variable\n\n// Function to update the score\nfunction updateScore(value) {\n score += value; // Increment the score by the value passed\n document.getElementById(\"score\").innerText = score; // Update the score display\n}\n\n// Call this function to update the score as needed\n```\n\n### Explanation:\n- **HTML Update**: Added a new `

` with `id=\"score-container\"` to display the score at the top of the page.\n- **CSS Styling**: Centered the score at the top with absolute positioning and translation.\n- **JavaScript Logic**: Added a `score` variable and an `updateScore` function to manage and display the current score. You can call `updateScore(1)` or any desired value to increase the score when needed.\n\nThis way, you'll have a score displayed at the top center of your screen, and you can update it as necessary during your project. Let me know if you need more help!","project_id":10725,"created_at":"2025-12-02T01:04:37.670278Z","output_tokens":892},{"code_id":297912,"sender":"human","deleted":0,"input_tokens":null,"id":183484,"message":"When generating an equation, store the correct answer to that equation to use later","project_id":10725,"created_at":"2025-12-02T01:07:08.498616Z","output_tokens":null},{"code_id":297912,"sender":"ai","deleted":0,"input_tokens":3746,"id":183485,"message":"To store the correct answer of the generated equation for later use, we can create a variable that will hold the answer each time an equation is generated. We'll update the `generateEquation` function to include this new variable.\n\nHere's how you can do it:\n\n### Step 1: Add a Variable for the Correct Answer\n\nIn your `script.js`, declare a new variable to store the correct answer. You'll then assign the value to this variable whenever you generate a new equation.\n\n```javascript\n// script.js\nlet correctAnswer = 0; // Variable to store the correct answer\n\nfunction generateEquation() {\n const num1 = Math.floor(Math.random() * 10) + 1; // Random number between 1 and 10\n const num2 = Math.floor(Math.random() * 10) + 1;\n correctAnswer = num1 * num2; // Store the correct answer\n\n // Randomly decide which part of the equation to hide\n const missingPart = Math.floor(Math.random() * 3);\n\n let equation = \"\";\n if (missingPart === 0) {\n equation = `_ * ${num2} = ${correctAnswer}`;\n } else if (missingPart === 1) {\n equation = `${num1} * _ = ${correctAnswer}`;\n } else {\n equation = `${num1} * ${num2} = _`;\n }\n\n // Display the equation in the HTML\n const equationContainer = document.getElementById(\"equation-container\");\n equationContainer.innerText = equation;\n}\n```\n\n### Explanation:\n- **Variable Declaration**: We added `let correctAnswer = 0;` to store the answer to the generated equation.\n- **Assigning the Answer**: When generating the equation, `correctAnswer` is assigned the value of `num1 * num2`, which is the correct answer for the multiplication equation.\n- **Equation Display**: The equation is displayed with the correct answer encoded in the string, but with one part replaced by an underscore.\n\nNow, you can use `correctAnswer` later in your code to check user inputs or update the score based on correct answers. Let me know if you need more functionality added or further assistance!","project_id":10725,"created_at":"2025-12-02T01:07:08.601615Z","output_tokens":491},{"code_id":297914,"sender":"human","deleted":0,"input_tokens":null,"id":183486,"message":"The gameplay loop will work like this: The user is presented with an equation that they must solve by drawing a number on the canvas. When the user hits predict, get the highest probability prediction that the model returns and check it against the correct answer. If the answers match, increase the score by 1 and generate a new equation. If the answer is wrong, recreate a blank canvas so the user can try again.","project_id":10725,"created_at":"2025-12-02T01:08:56.593748Z","output_tokens":null},{"code_id":297914,"sender":"ai","deleted":0,"input_tokens":3830,"id":183487,"message":"To implement the gameplay loop you described, we will modify the `predictDrawing` function to include logic for checking the user's prediction against the correct answer. If the prediction is correct, we will increase the score and generate a new equation. If the prediction is incorrect, we will clear the canvas for another attempt.\n\nHere's how we can do this step by step:\n\n### Step 1: Update `predictDrawing` Function\n\nModify the `predictDrawing` function in `script.js` to include the new gameplay logic.\n\n```javascript\n// script.js\n\nasync function predictDrawing() {\n // Create a canvas element for the drawing\n const drawingCanvas = document.createElement('canvas');\n drawingCanvas.width = width;\n drawingCanvas.height = height;\n const ctx = drawingCanvas.getContext('2d');\n\n // Set the background to white\n ctx.fillStyle = '#FFF';\n ctx.fillRect(0, 0, drawingCanvas.width, drawingCanvas.height);\n\n // Draw the current drawing onto the canvas (using the p5.js canvas)\n ctx.drawImage(canvas, 0, 0); // Capture the current canvas\n\n // Use the Teachable Machine model to predict based on the drawn image\n const prediction = await model.predict(drawingCanvas);\n\n // Find the highest probability prediction\n let highestPrediction = prediction[0];\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Check if the predicted number matches the correct answer\n const predictedValue = parseInt(highestPrediction.className); // Convert class name to integer\n if (predictedValue === correctAnswer) {\n updateScore(1); // Increase the score by 1\n generateEquation(); // Generate a new equation\n clearCanvas(); // Clear the canvas for a fresh drawing\n } else {\n clearCanvas(); // Clear the canvas for another attempt\n }\n\n // Update the label container with predictions\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction; // Update labels with predictions\n }\n}\n\n// Function to clear the canvas\nfunction clearCanvas() {\n background(255); // Reset background to white\n}\n```\n\n### Explanation:\n- **Finding the Highest Prediction**: After getting predictions from the model, we loop through to find the highest probability prediction.\n- **Checking the Answer**: We convert the predicted class name to an integer and check it against the `correctAnswer`.\n- **Updating Score and Generating New Equation**: If the prediction is correct, we call `updateScore(1)` to increase the score, and `generateEquation()` to create a new equation.\n- **Clearing the Canvas**: The `clearCanvas()` function resets the canvas background to white, allowing the user to draw again.\n\n### Step 2: Ensure Canvas Resets Correctly\n\nMake sure that your `setup` function initializes the canvas and prepares it for new drawings. The `clearCanvas` function will handle resetting the drawing area each time the user predicts incorrectly or correctly.\n\nNow, the gameplay loop you described should work as expected! Let me know if you need any further adjustments or features!","project_id":10725,"created_at":"2025-12-02T01:08:56.776976Z","output_tokens":830},{"code_id":297916,"sender":"human","deleted":0,"input_tokens":null,"id":183489,"message":"add logging statements","project_id":10725,"created_at":"2025-12-02T01:10:15.506586Z","output_tokens":null},{"code_id":297916,"sender":"ai","deleted":0,"input_tokens":3931,"id":183490,"message":"To add logging statements throughout your code, we can use `console.log()` to track different events and values during the execution of your program. This will help you understand the flow of the application and debug any issues that may arise.\n\nHere's how to add logging statements in your `script.js` file:\n\n### Step 1: Add Logging Statements\n\nWe'll add logging to key parts of the code to track the score, the generated equation, and the predictions. \n\n```javascript\n// script.js\n\nconst URL = \"https://teachablemachine.withgoogle.com/models/YYBlWHJWc/\";\n\nlet model, labelContainer, maxPredictions;\n\nlet score = 0;\n\nlet correctAnswer = 0;\n\nfunction setup() {\n createCanvas(280, 280);\n background(255);\n \n eraser = select(\"#eraser\");\n \n init(); // Automatically initialize the model when the project runs\n console.log(\"Model initialization started.\");\n}\n\nfunction draw() {\n strokeWeight(12);\n if (eraser.checked())\n stroke(255)\n else\n stroke(0);\n if (mouseIsPressed) {\n line(pmouseX, pmouseY, mouseX, mouseY);\n }\n}\n\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n // Load the model and metadata\n model = await tmImage.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n console.log(\"Model and metadata loaded successfully.\");\n\n // Setup the label container for predictions\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) { // and class labels\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n\ngenerateEquation();\n\nfunction updateScore(value) {\n score += value; // Increment the score by the value passed\n document.getElementById(\"score\").innerText = score; // Update the score display\n console.log(`Score updated: ${score}`);\n}\n\nfunction generateEquation() {\n const num1 = Math.floor(Math.random() * 10) + 1; // Random number between 1 and 10\n const num2 = Math.floor(Math.random() * 10) + 1;\n correctAnswer = num1 * num2; // Store the correct answer\n\n // Randomly decide which part of the equation to hide\n const missingPart = Math.floor(Math.random() * 3);\n\n let equation = \"\";\n if (missingPart === 0) {\n equation = `_ * ${num2} = ${correctAnswer}`;\n } else if (missingPart === 1) {\n equation = `${num1} * _ = ${correctAnswer}`;\n } else {\n equation = `${num1} * ${num2} = _`;\n }\n\n // Display the equation in the HTML\n const equationContainer = document.getElementById(\"equation-container\");\n equationContainer.innerText = equation;\n\n console.log(`Generated equation: ${equation} (Correct answer: ${correctAnswer})`); // Log the equation and the correct answer\n}\n\nasync function predictDrawing() {\n console.log(\"Prediction started.\");\n \n // Create a canvas element for the drawing\n const drawingCanvas = document.createElement('canvas');\n drawingCanvas.width = width;\n drawingCanvas.height = height;\n const ctx = drawingCanvas.getContext('2d');\n\n // Set the background to white\n ctx.fillStyle = '#FFF';\n ctx.fillRect(0, 0, drawingCanvas.width, drawingCanvas.height);\n\n // Draw the current drawing onto the canvas (using the p5.js canvas)\n ctx.drawImage(canvas, 0, 0); // Capture the current canvas\n\n // Use the Teachable Machine model to predict based on the drawn image\n const prediction = await model.predict(drawingCanvas);\n console.log(\"Prediction results received:\", prediction);\n\n // Find the highest probability prediction\n let highestPrediction = prediction[0];\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Check if the predicted number matches the correct answer\n const predictedValue = parseInt(highestPrediction.className); // Convert class name to integer\n console.log(`Predicted value: ${predictedValue}, Correct answer: ${correctAnswer}`);\n\n if (predictedValue === correctAnswer) {\n updateScore(1); // Increase the score by 1\n generateEquation(); // Generate a new equation\n clearCanvas(); // Clear the canvas for a fresh drawing\n console.log(\"Prediction correct! Score increased.\");\n } else {\n clearCanvas(); // Clear the canvas for another attempt\n console.log(\"Prediction incorrect. Try again.\");\n }\n\n // Update the label container with predictions\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction; // Update labels with predictions\n }\n}\n\nfunction clearCanvas() {\n background(255); // Reset background to white\n console.log(\"Canvas cleared.\");\n}\n```\n\n### Explanation of Logging Statements Added:\n- **Initialization Logging**: When the model initializes and loads, console logs indicate the start and successful loading.\n- **Score Updates**: Each time the score is updated, a log shows the new score.\n- **Equation Generation**: When an equation is generated, it logs the equation and the correct answer.\n- **Prediction Logging**: Logs when predictions start, the received prediction results, the predicted value versus the correct answer, and whether the prediction was correct or incorrect.\n- **Canvas Clearing**: Logs when the canvas is cleared.\n\nThese logging statements will help you track the flow of your program and debug issues effectively. Let me know if you need any more assistance!","project_id":10725,"created_at":"2025-12-02T01:10:15.765321Z","output_tokens":1415},{"code_id":297921,"sender":"human","deleted":0,"input_tokens":null,"id":183491,"message":"make sure the correct answer is the number that should go in the missing blank, right now it is the actual answer of the equation","project_id":10725,"created_at":"2025-12-02T01:13:04.562686Z","output_tokens":null},{"code_id":297921,"sender":"ai","deleted":0,"input_tokens":4075,"id":183492,"message":"To ensure that the `correctAnswer` variable holds the number that should go in the missing blank, we need to modify the `generateEquation` function. Instead of calculating the product of `num1` and `num2` as the correct answer, we should assign the missing number based on which part of the equation is hidden.\n\nHere's how to adjust the `generateEquation` function:\n\n### Updated `generateEquation` Function\n\n```javascript\n// script.js\n\nfunction generateEquation() {\n const num1 = Math.floor(Math.random() * 10) + 1; // Random number between 1 and 10\n const num2 = Math.floor(Math.random() * 10) + 1;\n\n // Randomly decide which part of the equation to hide and set the correct answer\n const missingPart = Math.floor(Math.random() * 3);\n let equation = \"\";\n\n if (missingPart === 0) {\n correctAnswer = num1; // The first number is missing\n equation = `_ * ${num2} = ${num1 * num2}`; // Display the equation with the actual answer\n } else if (missingPart === 1) {\n correctAnswer = num2; // The second number is missing\n equation = `${num1} * _ = ${num1 * num2}`; // Display the equation with the actual answer\n } else {\n correctAnswer = num1 * num2; // The result is missing\n equation = `${num1} * ${num2} = _`; // Display the equation with the actual answer\n }\n\n // Display the equation in the HTML\n const equationContainer = document.getElementById(\"equation-container\");\n equationContainer.innerText = equation;\n\n console.log(`Generated equation: ${equation} (Correct answer: ${correctAnswer})`); // Log the equation and the correct answer\n}\n```\n\n### Explanation of Changes:\n- **Setting `correctAnswer`**: \n - When the first number is missing, `correctAnswer` is set to `num1`.\n - When the second number is missing, `correctAnswer` is set to `num2`.\n - When the result is missing, `correctAnswer` is set to the product of `num1` and `num2`.\n- **Equation Display**: The equation displayed in the UI reflects the correct structure based on which part is missing.\n\nThis ensures that the correct answer corresponds to the number that the user should draw to solve the equation. Let me know if you need further modifications or assistance!","project_id":10725,"created_at":"2025-12-02T01:13:04.682912Z","output_tokens":554},{"code_id":297926,"sender":"human","deleted":0,"input_tokens":null,"id":183493,"message":"The predicted value is appearing as NaN, make sure to parse the model response correctly","project_id":10725,"created_at":"2025-12-02T01:16:06.456696Z","output_tokens":null},{"code_id":297926,"sender":"ai","deleted":0,"input_tokens":4133,"id":183494,"message":"If the predicted value is appearing as `NaN`, it likely indicates that the `className` from the prediction result is not what we expect or is not being parsed correctly. We need to ensure that the `className` is a valid string that can be converted to an integer.\n\nHere's how to troubleshoot and fix the issue:\n\n### Step 1: Check the Model Response\n\nFirst, let's log the entire prediction response to see what it looks like. This will help us understand if there are any unexpected values.\n\nIn the `predictDrawing` function, right after getting the predictions, add a log statement:\n\n```javascript\nconsole.log(\"Prediction results received:\", prediction);\n```\n\n### Step 2: Update the Code to Parse the Class Name\n\nNext, let's ensure that we correctly parse the `className` from the prediction results. The `className` should correspond to the predicted number. If your model is set up to predict numbers, the `className` should represent those numbers as strings.\n\nHere’s how to modify the `predictDrawing` function to handle this correctly:\n\n```javascript\n// script.js\n\nasync function predictDrawing() {\n console.log(\"Prediction started.\");\n\n // Create a canvas element for the drawing\n const drawingCanvas = document.createElement('canvas');\n drawingCanvas.width = width;\n drawingCanvas.height = height;\n const ctx = drawingCanvas.getContext('2d');\n\n // Set the background to white\n ctx.fillStyle = '#FFF';\n ctx.fillRect(0, 0, drawingCanvas.width, drawingCanvas.height);\n\n // Draw the current drawing onto the canvas (using the p5.js canvas)\n ctx.drawImage(canvas, 0, 0); // Capture the current canvas\n\n // Use the Teachable Machine model to predict based on the drawn image\n const prediction = await model.predict(drawingCanvas);\n console.log(\"Prediction results received:\", prediction);\n\n // Find the highest probability prediction\n let highestPrediction = prediction[0];\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Parse the predicted value correctly\n const predictedValueString = highestPrediction.className; // Get the class name\n const predictedValue = parseInt(predictedValueString, 10); // Convert class name to integer\n console.log(`Predicted value: ${predictedValue}, Correct answer: ${correctAnswer}`);\n\n if (predictedValue === correctAnswer) {\n updateScore(1); // Increase the score by 1\n generateEquation(); // Generate a new equation\n clearCanvas(); // Clear the canvas for a fresh drawing\n console.log(\"Prediction correct! Score increased.\");\n } else {\n clearCanvas(); // Clear the canvas for another attempt\n console.log(\"Prediction incorrect. Try again.\");\n }\n\n // Update the label container with predictions\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction; // Update labels with predictions\n }\n}\n```\n\n### Explanation:\n- **Logging the Prediction**: By logging the prediction results, you can verify what the model is returning.\n- **Parsing Class Name**: The `className` is retrieved directly from the highest prediction. The `parseInt` function is used to convert this string to an integer. The second argument `10` ensures that the string is parsed as a base-10 number.\n\n### Conclusion:\nMake sure to check the log output to verify the structure of the prediction. If the `className` corresponds to the numbers you're expecting (e.g., \"0\", \"1\", \"2\", etc.), this code should work correctly to parse the predicted value. If you still see `NaN`, check if the prediction actually contains valid data in `className`.\n\nLet me know if you need further assistance!","project_id":10725,"created_at":"2025-12-02T01:16:06.754326Z","output_tokens":975},{"code_id":297926,"sender":"human","deleted":0,"input_tokens":null,"id":183501,"message":"The class names are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine' ","project_id":10725,"created_at":"2025-12-02T01:17:11.636527Z","output_tokens":null},{"code_id":297926,"sender":"ai","deleted":0,"input_tokens":4152,"id":183502,"message":"Given that the class names for the predicted values are in words (e.g., 'zero', 'one', 'two', etc.), we will need to create a mapping between these class names and their corresponding numeric values. \n\nLet's implement this by updating the `predictDrawing` function to convert the class name from the prediction into the correct number using a mapping object. \n\n### Step 1: Update the `predictDrawing` Function\n\nModify the `predictDrawing` function in `script.js` to include this mapping:\n\n```javascript\n// script.js\n\nasync function predictDrawing() {\n console.log(\"Prediction started.\");\n\n // Create a canvas element for the drawing\n const drawingCanvas = document.createElement('canvas');\n drawingCanvas.width = width;\n drawingCanvas.height = height;\n const ctx = drawingCanvas.getContext('2d');\n\n // Set the background to white\n ctx.fillStyle = '#FFF';\n ctx.fillRect(0, 0, drawingCanvas.width, drawingCanvas.height);\n\n // Draw the current drawing onto the canvas (using the p5.js canvas)\n ctx.drawImage(canvas, 0, 0); // Capture the current canvas\n\n // Use the Teachable Machine model to predict based on the drawn image\n const prediction = await model.predict(drawingCanvas);\n console.log(\"Prediction results received:\", prediction);\n\n // Find the highest probability prediction\n let highestPrediction = prediction[0];\n for (let i = 1; i < maxPredictions; i++) {\n if (prediction[i].probability > highestPrediction.probability) {\n highestPrediction = prediction[i];\n }\n }\n\n // Map class names to numeric values\n const classNameToNumber = {\n 'zero': 0,\n 'one': 1,\n 'two': 2,\n 'three': 3,\n 'four': 4,\n 'five': 5,\n 'six': 6,\n 'seven': 7,\n 'eight': 8,\n 'nine': 9\n };\n\n // Get the predicted value using the mapping\n const predictedValueString = highestPrediction.className; // Get the class name\n const predictedValue = classNameToNumber[predictedValueString]; // Convert class name to number\n console.log(`Predicted value: ${predictedValue}, Correct answer: ${correctAnswer}`);\n\n if (predictedValue === correctAnswer) {\n updateScore(1); // Increase the score by 1\n generateEquation(); // Generate a new equation\n clearCanvas(); // Clear the canvas for a fresh drawing\n console.log(\"Prediction correct! Score increased.\");\n } else {\n clearCanvas(); // Clear the canvas for another attempt\n console.log(\"Prediction incorrect. Try again.\");\n }\n\n // Update the label container with predictions\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction; // Update labels with predictions\n }\n}\n```\n\n### Explanation of Changes:\n- **Mapping Object**: The `classNameToNumber` object maps each class name (like 'zero', 'one', etc.) to its corresponding numeric value (0, 1, 2, etc.).\n- **Using the Mapping**: Instead of trying to parse the `className` directly as an integer, we now use the mapping to get the correct numeric value for the predicted class name.\n\nWith these updates, your program should correctly interpret the predicted values and compare them against the correct answers. Let me know if you need any further assistance!","project_id":10725,"created_at":"2025-12-02T01:17:11.796521Z","output_tokens":852}],"assets":[{"created_at":"2025-12-01T22:52:40.603514Z","name":"P1","resource_type":"image","tags":[],"project_id":10725,"creator":null,"cloudinary_id":"kyoxsao5cawlvrxkx1xw","deleted":false,"id":88697},{"created_at":"2025-12-01T22:52:40.603412Z","name":"thumbnail","resource_type":"image","tags":[],"project_id":10725,"creator":null,"cloudinary_id":"wp34vi2f3bhqwndqcoco","deleted":false,"id":88696}],"messages_sent":10,"comments":[],"steps":[]}