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Tired of burnouts? Remi your study monster will optimize your academic life! It predicts workload and generates balanced study sessions fitting your schedule. Prepared to be reminded by Remi!!!

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Remi

Your Intelligent Study Monster

Remi is an AI-powered productivity assistant that optimizes your academic life. It uses multi-agent AI to extract tasks from syllabi, predict detailed workload metrics, and generate balanced schedules that prevent burnout.

Key Features

  • Syllabus Extraction: Upload PDFs or images to auto-extract assignments and exams using PaddleOCR and ERNIE.
  • Workload Prediction: Hybrid LLM and ML ERNIE + PaddlePaddle (Groq/OpenAI + LightGBM fallback) models predict time effort and stress scores.
  • Smart Scheduling: Automatically balances your week based on predicted workload.
  • Study Habit Analysis: Tracks completion times and focus duration to optimize your personal "Energy Profile".
  • Stress Analytics: Predicts burnout risk by analyzing deadline density and study habit patterns.
  • Pomodoro Focus: Built-in timer with Remi's mood tracking—keep him happy by staying focused!
  • Natural Language Chat: Ask Remi "What's due this week?" or "Plan my study time".
  • Guest & Cloud Modes: Start instantly without an account (local storage) or sync across devices.

Tech Stack

Frontend (Deployed on Cloudflare)

  • React + Vite + TypeScript
  • Material UI (Custom Premium Theme)
  • Framer Motion & Tremor (Analytics)

Backend (Deployed on Google Cloud Run)

  • FastAPI (Python 3.11)
  • Supabase (PostgreSQL)
  • AI Core:
    • Orchestrator: Multi-agent workflow management
    • LLM: ERNIE primary, Groq (Llama 3.3) secondary, OpenAI (GPT-4) fallback
    • OCR/NLU: PaddleOCR for layout, ERNIE for parsing
    • ML: Fine-tuned ERNIE for calibrated workload predictions (Trained LightGBM for fallback)

About

Tired of burnouts? Remi your study monster will optimize your academic life! It predicts workload and generates balanced study sessions fitting your schedule. Prepared to be reminded by Remi!!!

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