Exceler A

Exceler A is a self-directed learning workspace built around the Brooklyn College Computer Science B.S. path, including its required supporting mathematics. It brings complete lessons, code-first practice, mastery testing, persistent progress, DegreeWorks mapping, and a contextual AI tutor into one focused interface.

The current public course library covers CISC 1115 and CISC 2210 alongside the MATH 1006 → MATH 1011 → MATH 1201 sequence. A visual degree map connects that self-study curriculum to the broader degree path while clearly marking courses that are still to come.

Open the live project | View the repository

Screenshots

Structured Java lessons	Visual degree planning

Core Experience

• Self-directed curriculum: Five available courses span Java programming, discrete structures, College Algebra, Precalculus, and Calculus I, with full lessons and cumulative practice built around the Brooklyn College path.
• Demonstrated practice: Lessons combine direct explanations, code examples, hints, attempts, difficulty levels, and checked exercises. Reading introduces a concept; completed practice creates progress.
• Mastery testing: Unit assessments require learners to produce answers, revisit missed material, and retain immutable attempt history instead of treating content exposure as mastery.
• Persistent per-user progress: Anonymous learning remains on the current device. Signed-in students receive an isolated cloud workspace and can explicitly attach existing anonymous progress.
• Degree planning: A visual Brooklyn College Computer Science B.S. map shows required courses, choice branches, prerequisites, electives, and graduation gates.
• Private audit import: Signed-in students can privately load a DegreeWorks PDF. The original file is read in the browser and is not uploaded; only the reviewed structured result is saved.
• Contextual tutor: Signed-in students can use a course-grounded tutor with per-account limits, a global allowance, and assessment-integrity protections.

Privacy Model

The public deployment begins with a clean, anonymous profile. Anonymous progress remains in that visitor's browser, and the repository does not include Daniel's personal GPA, DegreeWorks audit, or course history.

Students may sign in with ChatGPT for a private cloud workspace, DegreeWorks-derived degree status, and the protected tutor. Every database read and write is keyed from server-authenticated identity rather than a browser-supplied user ID. The OpenAI API key remains server-side. The core curriculum, practice system, degree map, and device-local progress remain usable without an account or AI connection.

Technology

• React 19 and TypeScript
• Vinext and Vite
• Tailwind CSS 4
• Cloudflare Workers deployment
• D1-backed, per-student persistence with anonymous browser-local progress
• ChatGPT sign-in for identity-aware private features
• OpenAI Responses API for the rate-limited contextual tutor

Project Structure

app/
  api/student-state/       Private student workspace endpoint
  api/tutor/route.ts       Authenticated, rate-limited tutor endpoint
  data/cisc1115Course.ts   Course chapters, lessons, and practice
  data/math*.ts            College Algebra, Precalculus, and Calculus I
  data/cisc2210.ts         Discrete Structures lessons and assessments
  data/curriculum.ts       Degree-map requirements and relationships
  CommandCenter.tsx        Workspace navigation and primary views
  StructuredLesson.tsx     Lesson and practice presentation
  globals.css              Visual system and responsive layout
docs/screenshots/          Current product screenshots
public/                    Brand and social-preview assets
tests/                     Rendered-output checks

Run Locally

Requirements: Node.js 22.13 or newer.

npm install
npm run dev -- --port 1300

Then open http://localhost:1300.

The learning workspace works without an API key. To enable the private AI tutor, create a .env.local file:

OPENAI_API_KEY=your_key_here

Never commit that file or expose the key in client-side code.

Validation

npm run build
npm test
npm run audit:continuity
npm run audit:math

The continuity audits check the course library for missing instructional layers, undersized assessments, prerequisite gaps, and other curriculum-structure problems.

Status

Exceler A is an independent student-built project. It is not an official Brooklyn College product and does not replace the college catalog or academic advising. Requirements can change, so degree-planning information should be confirmed with official college sources.

The course library will expand beyond its current five courses as additional parts of the degree path are built and reviewed.

Author

Built by Daniel Lezhanskiy.