Teachable Machine Scratch AI Game Assignment Help
We create Teachable Machine models (image/audio/pose), integrate them into Scratch games, and deliver complete, documented projects. Every deliverable contains step-by-step instructions, screenshots, optional video demos, and editable project files so you can submit and learn confidently.
AI model training • Scratch integration • Fast delivery
Teachable Machine and Scratch provide accessible entry points for students to learn machine learning and game design. However, turning a classroom idea into a polished assignment can be time-consuming and technically challenging. Our team specializes in both the technical side of model training and the creative side of Scratch game design, giving you a complete package: accurate models, robust game logic, readable code, clear documentation, and optional video demonstrations.
We focus on education-first solutions: every project is documented in a way that helps you understand how the model works, how the game uses predictions, and how to present results during evaluations. Whether you need a beginner-friendly Scratch AI game for school or a more advanced Teachable Machine project for college, we match the complexity and deliver exactly what your instructor expects.
Model Accuracy & Explanation
We train models with balanced datasets, tune parameters, and validate results. Each deliverable includes a short methodology section describing training, validation, and expected model behavior.
Polished Game Mechanics
Scratch games are designed with scoring, levels, events, and feedback loops. We ensure AI inputs are smooth and reliable for gameplay.
Submission-ready Deliverables
Every project includes source files, exported models or links, README, screenshots, and optional video demos so you can submit immediately.
We cover a wide range of Teachable Machine and Scratch AI tasks. Below is a thorough list of topics and deliverables - pick the items you need and we’ll bundle them into your assignment.
Image Classification
Collecting & curating image datasets, augmentation, balanced class distribution, training in Teachable Machine, exporting the model, and integrating prediction triggers in Scratch or browser projects. We provide example inputs and explain decision boundaries in simple language for reports.
Audio/Sound Detection
Training audio models to detect claps, voice commands, or specific sounds, configuring sensitivity, sample rates, and detection windows - integrated to trigger Scratch events like jump, shoot or score increments. We include sample audio collection and labeling strategies.
Pose Recognition & Gesture Control
Pose-based controls let players move characters via body gestures. We configure pose models, define gestures, calibrate thresholds, and map gestures into Scratch control logic for interactive and accessible games.
Scratch Game Logic & Scoring
Complete game skeletons with event listeners, timers, score systems, lives, levels, and restart logic. We include tutorials for teachers and rubrics so you can explain your game's mechanics during evaluations.
Data Collection & Lab Notes
If your assignment expects a data collection methodology, we provide templates, sample data logs, labeling notes and a short experimental protocol students can follow or cite.
Video Demonstration & Walkthrough
Optional short video walkthroughs (screen capture) demonstrating model training steps, Scratch integration, and gameplay - perfect for a polished submission or viva demonstration.
Google Teachable Machine
Project + exported model link (or downloadable files), sample dataset, and training screenshots.
Scratch 3.0 Project
Scratch project file (.sb3), instructions to import models, and mapping notes for block logic and events.
Web Glue Code (Optional)
Small JavaScript glue for browser-based model integration (if needed), plus instructions to host and run locally.
Documentation & README
Step-by-step README, dataset notes, model hyperparameters, how to run and reproduce results, and instructor-ready summary.
If your assignment uses a browser connection to Teachable Machine, we include a small, educational snippet like this (for demo only - we provide full working code in the deliverable).
const modelURL = "https://teachablemachine.withgoogle.com/models/your-model/";
const model = await tmImage.load(modelURL + "model.json", modelURL + "metadata.json");
const prediction = await model.predict(webcamCanvas);
if(prediction[0].probability > 0.85) {
// trigger Scratch event via cloud variable or custom integration
}We include full explanations and prerequisites in the project documentation.
Choose from three student-friendly packages depending on complexity and delivery speed. All packages include original work and WhatsApp support.
- 1 small project or homework task
- Teachable Machine model (basic), Scratch integration
- Delivery: 72 hours
- Revisions: 1 Revision
- Up to 3 assignments or one mid-sized project
- Detailed model training, Scratch game, docs & screenshots
- Delivery: 48 hours
- Revisions: 2 Revisions
- Full project: dataset, model, Scratch game, video demo
- Priority delivery, editable source files, and extended support
- Delivery: 24 hours (priority)
- Revisions: Unlimited Revisions
"The Teachable Machine model worked flawlessly and integrated with my Scratch project - the explanations were excellent."
- Amina S., Student"They delivered a polished Scratch game with AI gestures. My teacher loved the video demo."
- Usman K., School"Clear documentation and editable files - exactly what I needed for submission."
- Noor T., College"Fast responses on WhatsApp and superb support during revisions."
- Bilal H., Student"Added a small browser demo to show the predictions live - great job."
- Sara L., Student"The pose-detection game helped me present well in class - highly recommended."
- Hina M., Student"They explained model limitations and how to improve accuracy - very educational."
- Omar R., Student"Good value and professional work, will use again for next project."
- Maria N., Student"The final project included a short video demo which was perfect."
- Fahad A., Student1. What is Teachable Machine and why use it?
Teachable Machine is an accessible Google tool that allows quick model training for image, audio and pose recognition - ideal for student projects and prototypes without deep ML code.
2. Can you integrate Teachable Machine with Scratch?
Yes - we export models and provide browser glue or mapping instructions to integrate predictions into Scratch projects via webhooks, cloud variables or simple local setups.
3. Will the project be original?
Absolutely. Every dataset, model training session, and Scratch code is custom-made for your brief and delivered with documentation to prove originality.
4. Do you provide sample datasets?
Yes - we provide example datasets and clear instructions for how to expand or collect your own data, plus labeling guidelines and augmentation tips.
5. Can you make a video demo?
Yes - we offer optional short screen-capture videos showing training steps, Scratch integration, and gameplay for a professional submission.
6. How long does delivery take?
Delivery depends on package and complexity: Basic 72 hrs, Standard 48 hrs, Premium 24 hrs priority. We also offer express options on demand.
7. Do you provide source files?
Yes - you will receive all source files: .sb3 Scratch project, exported model links/files, README, screenshots and optional script files.
8. Can I request revisions?
Yes. Basic includes 1 revision, Standard 2 revisions, Premium unlimited revisions until you are satisfied.
9. Is there WhatsApp support during the project?
Yes - we provide active WhatsApp support for clarifications, file transfer, and quick troubleshooting throughout the project.
10. How do I order?
Click any WhatsApp button on the page, send your brief and files, and our team will reply with a quote, timeline and next steps.
Ready to Get Your AI Game Assignment Done?
Send your brief and files on WhatsApp and receive a tailored quote, ETA, and professional support from our AI & game development experts.
Teachable Machine Scratch AI Game assignment help with code, reports and explanations
Students usually lose marks when the solution works but the explanation, screenshots, comments, references or file structure are incomplete. Our teachable machine scratch ai game assignment help focuses on the full submission package: source code, written logic, testing notes, setup guidance and a clear report where your rubric asks for one.
Scratch, Teachable Machine, AI game logic
Scratch, Teachable Machine, AI game logic and classroom projects explained in student-friendly steps. We align each part with the brief so the final answer looks complete, readable and ready for academic review.
clean formatting for rubrics
clean formatting for rubrics and submission portals. We align each part with the brief so the final answer looks complete, readable and ready for academic review.
code comments, setup notes
code comments, setup notes and debugging guidance. We align each part with the brief so the final answer looks complete, readable and ready for academic review.
final review before delivery
final review before delivery and revision support. We align each part with the brief so the final answer looks complete, readable and ready for academic review.
How we make your teachable machine scratch ai game homework easier to submit
Requirement check
We read the brief, marking rubric, starter code and deadline before quoting, so the work is scoped correctly from the start.
Solution build
The expert prepares the code, diagrams, analysis or report using the required tools and keeps file names and format suitable for submission.
Testing and explanation
We review outputs, add comments, screenshots or notes, and explain the main logic so you can understand how the solution works.