AutonomousVehicleControlBeginnersGuide
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
翻訳待ち
IntelliPlan is an AI study planner that connects to school platforms, pulls assignments, prioritizes tasks, and builds weekly schedules. It exports plans to Google Calendar, creates flashcards and quizzes, models grades, and includes an AI tutor across subjects—helping students stay organized, reduce stress, and learn more effectively.
翻訳待ち
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The AI-powered student planner built by a student, for students.
Connect your school platform, get a personalized study schedule, and actually stay on top of your work.
🌐 Live at: intelliplan.tech
💬 Community: discord.gg/34FYWhJQMU
📱 Installable as a PWA on Android & iOS · Chrome Extension available
Canvas and StudentVue show you what's due.
They don't tell you when to do it, what to prioritize, or how long it'll take.Read the full README ↗The AI-powered student planner built by a student, for students.
Connect your school platform, get a personalized study schedule, and actually stay on top of your work.
🌐 Live at: intelliplan.tech
💬 Community: discord.gg/34FYWhJQMU
📱 Installable as a PWA on Android & iOS · Chrome Extension available
Canvas and StudentVue show you what's due.
They don't tell you when to do it, what to prioritize, or how long it'll take.
Students are left manually juggling deadlines across apps, guessing what to work on first, and falling behind — not because they're lazy, but because no tool connects the dots for them.
IntelliPlan pulls your assignments directly from Canvas, Google Classroom, StudentVue, Schoology, Blackboard, or Moodle, scores them by priority, and uses AI to generate a full weekly study schedule tailored to your workload and available hours. It syncs to Google Calendar, integrates with Notion, and includes a built-in AI tutor — all free.
A Notion-style kanban board with three columns — Overdue, Today, and Upcoming. Assignments auto-import from your connected school platform and are sorted by AI priority scoring. You can also add manual tasks directly.
Input your available hours per day and preferred study time (morning, afternoon, evening). The AI generates a complete multi-day study plan — broken into focused work blocks with breaks — and exports it directly to Google Calendar with one click. Saved schedules persist across sessions.
Follow-Through Engine. Plans are optimised for work that actually gets done, not just work that fits:
How it works: docs/adaptive-scheduler/03-follow-through-engine.md.
Upload course notes (PDF, DOCX, TXT, MD, CSV) or paste text, and the AI generates:
Includes a full spaced repetition system (SRS) that tracks mastery level per question and schedules reviews automatically.
Smart priority scoring (High / Medium / Low) with estimated time per assignment based on points possible, due date proximity, and course weight. See everything ranked so you always know what to tackle first.
Browse and filter all assignments by course. Works across Canvas, Google Classroom, StudentVue, Schoology, Blackboard, and Moodle simultaneously if multiple accounts are linked.
GPA overview pulled live from your school platform. The Grade Modeler lets you simulate "what if I get X% on my next test?" and shows you exactly how it affects your course grade and GPA.
A dedicated AI tutor (separate from the assistant chatbot) that teaches subjects step by step — math, science, history, English, computer science, languages, economics, and test prep. It never just hands over answers; it builds understanding and checks comprehension with follow-up questions.
Plani runs on an adaptive student model rather than a plain chat wrapper. Every reply is shaped by a persistent profile of the student:
auto mode. Auditory learners get spoken-optimized phrasing; visual learners get more interactive artifacts.The layer lives in adaptive_tutor/ and degrades gracefully: if the analysis passes or the database are unavailable, the tutor falls back to its legacy heuristic memory rather than failing the reply.
Assignment deadline reminders sent as push notifications, even when the app is closed. Supports notification silencing for custom durations.
Full light/dark theme support with preference saved across sessions.
This is the beginning of the README. Read the rest at the original. Read the full README ↗