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BIAA–P01 / project technology tree

AI Smart Seasoning Machine

A student prototype exploring repeatable dispensing, guided cooking, taste preferences and responsible kitchen interaction. Follow the required and optional knowledge nodes from project framing to an integrated, evidence-led prototype.

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The local brief builder does not transmit data. Recruitment roles, schedules, mentors and award information remain subject to verification.
OPENQUESTION
01 / Question02 / Understand03 / Build04 / Verify
BIAA–P01 / PROJECT FACTS

Check the project status before learning begins.

STATUS
Active · interest open
COMPETITION AWARD
Award information pending; not published as an award claim
SOURCE STATUS
Project source page supplied by the owner · 2026-08-31
LEARNING OUTPUT
A low-voltage bench prototype that dispenses test media, records calibration evidence and explains its limits.
View project-owner source page ↗
BIAA / TECHNOLOGY TREE / 02

The technology tree shows dependencies; the growth tree shows capability forming.

Required nodes form the smallest working system. Optional nodes can be added to one learner’s path or assigned to a teammate. Selections are not submitted or stored.

01

Frame the challenge

Define the user, purpose, constraints and responsible boundary.

02

Build foundations

Learn the scientific, mechanical and computational foundations.

03

Develop subsystems

Build, test and document separable hardware and software modules.

04

Integrate and prove

Connect interfaces and use evidence to explain performance and limits.

LEARNING NODE / 01

User, recipe and safety brief

CORE COURSE NODE
01

Prerequisites

None; begin with the project question and safety boundary.

02

What to learn

Needs research, measurable criteria, allergens and the difference between guidance and autonomous cooking.

03

Hands-on task

Write three use scenarios and a bench-only risk register.

04

Mastery evidence

Provide a design note, process log, raw test data, failures and revisions, plus peer or mentor review against visible criteria.

SAFETY & ETHICS BOUNDARY

Use non-food test media first. Food hygiene, allergens, hot surfaces and unsupervised kitchen operation stay outside early prototypes.

OPENAI / 秘塔 / LEARNING ASSISTANT

Copy a course prompt and learn this node step by step.

The prompt is learning scaffolding, not a replacement for adult supervision, mentor judgement, source checking or physical testing. Do not enter a minor’s name, image, school, contact details or other sensitive data.

You are a BIAA project-learning tutor. Project: AI Smart Seasoning Machine.

Project question: How might a countertop system help a learner season food more consistently while keeping the cook in control?

Current node: User, recipe and safety brief

Knowledge goal: Needs research, measurable criteria, allergens and the difference between guidance and autonomous cooking.

Practical task: Write three use scenarios and a bench-only risk register.

Safety boundary: Use non-food test media first. Food hygiene, allergens, hot surfaces and unsupervised kitchen operation stay outside early prototypes.

First ask five questions to diagnose my starting point. Then teach through concept explanation, a small exercise, a hands-on task, an evidence check and reflection. Do not invent test data or complete the project for me. For hardware, minors, health, biology or real infrastructure, state adult-supervision and stop conditions first.
BIAA / COURSE GENERATOR / 03

Turn the selected technology tree into a course path.

This generator only assembles a course path in your browser. It does not upload, store or create an account. Timetable, mentor and assessment arrangements still require human confirmation.

  1. 01
    User, recipe and safety briefFrame the challenge · Required

    Generate to reveal the course task

  2. 02
    Dispensing mechanicsBuild foundations · Required

    Generate to reveal the course task

  3. 03
    Sensors and calibrationBuild foundations · Required

    Generate to reveal the course task

  4. 04
    Embedded dispensing controlDevelop subsystems · Required

    Generate to reveal the course task

  5. 05
    Recipe-to-dose integrationIntegrate and prove · Required

    Generate to reveal the course task

01
BIAA / QUESTION

The project begins with a bounded question

How might a countertop system help a learner season food more consistently while keeping the cook in control?

  • 01Define the intended user and test environment
  • 02Separate the current prototype from future ambition
  • 03Name the human decisions and stop conditions
02
BIAA / OUTCOME

The learning outcome must be inspectable

A low-voltage bench prototype that dispenses test media, records calibration evidence and explains its limits.

  • 01Keep design notes and version history
  • 02Retain raw observations and test data
  • 03Explain failures, uncertainty and what changes next
03
BIAA / BOUNDARY

Safety and responsibility are part of the technology tree

Use non-food test media first. Food hygiene, allergens, hot surfaces and unsupervised kitchen operation stay outside early prototypes.

  • 01Use the lowest-risk model that can answer the learning question
  • 02Require adult or qualified oversight where the domain demands it
  • 03Do not publish personal learner data or unsupported performance claims
BIAA / NEXT

Continue exploring

01Project learning system

One project. A complete, learnable technology tree.

Start with what the project must do. BIAA then maps the system, prerequisites, team roles, learning modules, hands-on outputs and evidence needed to move from an idea to an integrated prototype.

02Stage one / project participation

Turn an idea or participation interest into a reviewable project brief.

Use the local builder to define a problem, intended user, current progress, team roles, support needs and safety boundary. Because the official receiving channel is not yet confirmed, the current page creates a draft in your browser and does not transmit or store it.

03Stage one / mentor framework

Mentorship begins with a project decision, not a decorative profile.

BIAA is preparing a mentor framework for project framing, technical review, safety gates, evidence critique and pitch rehearsal. Named profiles will appear only after identity, expertise, safeguarding responsibilities and availability are verified.

04Stage one / competition archive

An archive is useful only when every award claim can be traced.

The planned archive will separate BIAA competition records from external competition research. The nine current project directions are listed as projects with summer-competition award information pending—not as verified winners—until the official event, category, award, date and source are supplied.

BIAA / NEXT STEP

Prepare participation interest

The local brief builder does not transmit data. Recruitment roles, schedules, mentors and award information remain subject to verification.

Prepare participation interest