GradePath is an academic operating system for college students. It turns scattered syllabi, Canvas data, grades, and deadlines into clear grade standing, required-score calculations, and a weekly plan students can act on.
This repository is a public product case study. The production source code, database schema, credentials, and private implementation details remain private because GradePath is an active product.
| Area | Public case-study proof |
|---|---|
| Product | Student-first academic workspace for grades, deadlines, planning, and course-aware support |
| Core thesis | Structured academic data first, AI second |
| Trust boundary | Grade math is deterministic, not model-generated |
| Founder role | Product, engineering, AI workflow, billing, launch, and release work |
| Privacy boundary | Source code, schema, credentials, prompts, and student data stay private |
Students usually have academic information spread across syllabi, Canvas, gradebooks, calendars, and notes. Most tools either display raw data or offer generic AI chat. Neither answers the student’s actual question:
What do I need to know or do right now?
GradePath turns that scattered information into a structured academic workspace:
- real weighted grade standing
- required-score calculations
- deadline tracking
- weekly planning
- course-aware study support
- AI assistance grounded in the student's actual academic context
The AI is useful because the system already understands courses, grades, assignments, deadlines, and timing.
The strongest student value is clarity:
- What grade do I actually have?
- What do I need on the final?
- What work matters this week?
- Where should I focus first?
| Surface | What it proves |
|---|---|
| Syllabus and Canvas intake | Turns messy academic inputs into structured course context |
| Grade calculations | Computes current standing, projections, required scores, and what-if scenarios |
| Planner | Converts deadlines and grade stakes into a practical weekly plan |
| Study support | Uses course context for academic help instead of generic chat |
| Billing and release work | Shows product execution beyond a prototype |
The private implementation uses modern web, database, AI, billing, and deployment infrastructure. This public case study intentionally keeps the architecture high-level so it can demonstrate product and engineering judgment without exposing copyable implementation details.
GradePath is founder-led and built across the full product stack:
- product strategy and positioning
- full-stack web application development
- AI workflow design
- syllabus and academic-data extraction
- deterministic grade calculation logic
- subscription and billing flow
- mobile app packaging work
- marketing and launch materials
- testing, release, and production verification
- Deterministic where trust matters. Grade math should be computed, not guessed.
- AI should produce action, not novelty.
- The interface should reduce anxiety, not create more decisions.
- Product proof matters more than generic AI claims.
- Sensitive implementation details stay private.
This repo is meant to show judgment, scope, and public proof. It is not meant to make the private product copyable.
- Live product: gradepath.app
- Desktop screenshot:
assets/screenshots/gradepath-public-home-desktop.png - Mobile screenshot:
assets/screenshots/gradepath-public-home-mobile.png - Workflow diagram:
assets/diagrams/product-workflow.svg - Architecture diagram:
assets/diagrams/safe-architecture.svg
This is not an open-source release of GradePath.
It does not include:
- production source code
- database schema
- API routes
- credentials
- internal prompts
- customer or student data
- proprietary implementation details
It exists to show the product thinking, engineering scope, and public-facing proof behind the project.