RevisIA – Smart Study Assistant

1. Overview

Target Audience: University, high school, and prep students
Objective: Help users review study content intelligently and automatically, combining summaries, quizzes, flashcards, and guided explanations.

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2. Main Features (MVP – Initial Version)

2.1 User Registration & Login

• Login with email and password
• Login with Google / Facebook
• Password recovery
• Personal dashboard

2.2 Create Courses & Subjects

• Users create courses (e.g., Mathematics, History, Physics)
• Inside each course, they add subjects or topics (e.g., “Trigonometry”, “French Revolution”)
• Each subject accepts text, PDFs, or manually typed summaries

2.3 Automatic Organization (AI)

The AI reads the content and:

• Creates automatic summaries
• Generates multiple-choice quizzes
• Generates flashcards (question-answer)
• Creates a daily study plan (review → quiz → flashcards → guided explanation)

2.4 Study Routine

Each day the user has a task:

• Day 1: Review content (AI-generated summary)
• Day 2: Take the quiz
• Day 3: Flashcards
• Day 4: Reverse explanation (AI asks questions, user explains)

The system automatically controls the sequence.

2.5 Progress Tracking

• Shows quiz performance
• Shows percentage of completed review
• Generates weekly reports

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3. System Architecture

Layer	Suggested Tech	Description
Frontend	React.js / Next.js + Tailwind CSS	Modern, responsive, fast interface
Backend (API)	Django REST Framework (Python)	Handles login, user data, and study logic
Database	PostgreSQL or SQLite	Stores users, subjects, revisions, and results
AI / NLP	OpenAI API / HuggingFace Transformers	Generates summaries, quizzes, and flashcards
Authentication	JWT / Firebase Auth	Security and simplified login
Hosting	Vercel (frontend) + Render / AWS (backend)	Easy to scale and manage
File Storage	Firebase Storage / AWS S3	Stores PDFs, text, and images uploaded by users

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4. Database Structure (simplified)

Main tables:

• Usuario: id, name, email, password, subscription_plan
• Disciplina: id, name, user_id
• Materia: id, name, content, discipline_id
• Atividade: id, type, date, status, subject_id
• ResultadoQuiz: id, user_id, subject_id, score

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5. AI Integration

The AI should provide these functions:

1. generate_summary(text) → creates a summary
2. generate_quiz(text) → generates 5–10 multiple-choice questions
3. generate_flashcards(text) → generates question-answer pairs
4. generate_study_plan(subjects) → generates a weekly plan

Initially, these functions can use OpenAI API (e.g., GPT-4 or GPT-5-turbo).

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6. Development Phases

Phase 1 – MVP (2–3 months)

• User login and registration
• Personal dashboard
• Create courses and subjects
• AI generates summary and quiz
• Simple review interface
• Database working

Phase 2 – Enhancement (3–6 months)

• Flashcards and reverse explanation
• Progress and statistics system
• Modern, responsive design
• Adaptive study plan

Phase 3 – Scaling & Commercialization

• Paid subscriptions (Stripe / PayPal)
• Marketing (landing page + ads)
• Mobile version (React Native)
• Community for users

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7. Estimated Costs

• Initial hosting: $10–$20/month
• AI API (OpenAI): $30–$50/month depending on usage
• Domain + email: $15/year
• Initial ads: $100–$200 for testing

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8. Differentiators

• AI personalized per course
• Guided interface (not just content)
• Mix of proven methods: spaced repetition + active recall + testing effect
• Focus on Lusophone students (rare in the market)