Education

Personalized Study Planner Agent

EducationStudySpaced RepetitionStudent

Difficulty3/10 · Beginner

Market: MediumMVP: 1-2 weeks

Overview

An agent that creates personalized study plans for students or professionals preparing for exams. It uses spaced repetition science to schedule reviews, tracks progress and weak areas, adjusts the plan based on performance, and sends study reminders via chat.

Problem It Solves

Students study inefficiently without structure. Spaced repetition works but is hard to implement manually. Most students cram instead of spacing their learning. Tracking progress across multiple subjects is overwhelming.

How It Works

The agent creates a study schedule based on exam dates, subjects, and available time. It uses spaced repetition algorithms to schedule reviews at optimal intervals. Daily reminders via WhatsApp or Telegram include the day's study plan and progress stats.

Getting Started

1
Set up OpenClaw with Telegram or WhatsApp channel
2
Implement spaced repetition scheduling algorithm
3
Build a subject/topic knowledge graph
4
Create daily planning and reminder workflows
5
Add progress tracking and weakness identification

Claude Code Prompt

Build a Personalized Study Planner Agent — a production-ready agent with full implementation details, architecture, constraints, and verification steps.

## Tech Stack
- Framework: ...
- Language: Python
- Key integrations: ...

## Goal
Create a working MVP that...

## Implementation Steps
1. Project Setup: Initialize...
2. Configure agents and tools...
3. Build the core pipeline...

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