StudySphere

One place to study, quiz, and understand everything.

StudySphere is an AI-powered study assistant for university students, college students, teachers, and competitive exam candidates who want to keep notes, chats, uploaded documents, quizzes, and flashcards in one place. It combines chat, document understanding, OCR, note generation, and quiz generation into a premium cross-platform experience built with Flutter, Supabase, and Gemini AI.

Business Goals

  • Reach 10,000 registered users within 6 months of launch with at least 30% monthly active usage.
  • Convert 8% to 12% of active users to paid subscriptions within the first 9 months through premium AI usage limits and advanced study tools.
  • Achieve a 35% 30-day retention rate for first-time users by improving onboarding and time-to-value.
  • Maintain a support burden below 2% of monthly active users by designing reliable upload, OCR, and AI workflows.
  • Increase average sessions per user to 6 or more per week within 12 months through habit-forming study workflows.

User Goals

  • Study from PDFs, images, and notes without switching between multiple apps.
  • Ask questions about uploaded documents and get answers grounded in source material.
  • Generate structured notes and quizzes from study material in seconds.
  • Save useful chats, notes, quizzes, and documents for offline access later.
  • Resume study seamlessly across phone, tablet, web, and desktop later.

Non-Goals

  • Building a full LMS with attendance, grading, or classroom management features in MVP.
  • Supporting real-time collaborative editing in the first release.
  • Creating a social network or public content marketplace in MVP.
  • Replacing institutional plagiarism detection or proctoring systems.

Ananya, 21, University Student - Ananya studies computer science and regularly works with lecture PDFs, assignment notes, and exam prep material. She needs a fast way to extract key points, ask questions, and generate revision quizzes before exams.

Ananya, 21, University Student

  • As a university student, I want to upload lecture PDFs and ask questions about them, so that I can understand difficult topics faster.
  • As a student preparing for exams, I want to generate concise notes and quizzes from my study material, so that I can revise efficiently.
  • As a mobile-first user, I want my chats and notes saved offline, so that I can continue studying without stable internet.

Rahul, 28, Competitive Exam Aspirant - Rahul prepares for high-volume exam syllabi and studies from many scanned notes, images, and PDFs. He needs OCR, structured summaries, and repeated self-testing to retain concepts.

Rahul, 28, Competitive Exam Aspirant

  • As an exam aspirant, I want to capture a photo of handwritten notes and convert it into searchable text, so that I can study from physical material.
  • As a user with large amounts of content, I want document-based chat to answer only from my uploaded files, so that I can trust the responses.
  • As a learner, I want quizzes with mixed formats like MCQ and fill in the blanks, so that I can test myself in different ways.

Ms. Priya, 35, Teacher - Priya prepares lesson support material and quick revision resources for her students. She wants a tool that can turn class content into structured summaries and practice questions with minimal effort.

Ms. Priya, 35, Teacher

  • As a teacher, I want to generate structured notes from a chapter PDF, so that I can create class handouts faster.
  • As a teacher, I want to create quizzes from uploaded content, so that I can assess understanding with less manual work.
  • As a multi-device user, I want to access my saved content on web and mobile, so that I can prepare anywhere.

Authentication and Profile · High priority

  • Users must be able to securely sign up, sign in, manage their profile, and recover access quickly.
  • Support email/password authentication and Google sign-in through Supabase Auth.
  • Provide forgot-password and email verification flows.
  • Store profile fields such as name, role, avatar, study preferences, and exam interests.
  • Persist session securely across app restarts on supported platforms.
  • Block access to private content unless authenticated and session is valid.

AI Chat and Conversational Study Assistant · High priority

  • Users can chat with Gemini in a ChatGPT-like interface to ask general study questions or follow-up on uploaded content.
  • Support streaming responses for low perceived latency.
  • Render markdown, tables, bullet lists, and code blocks correctly.
  • Allow copy response and regenerate response actions.
  • Store chat history per user and allow reopening previous chats.
  • Gracefully handle incomplete responses, timeouts, and quota limits.

Document Upload and OCR · High priority

  • Users can upload PDFs and images, capture documents with the camera, and extract readable text for study use.
  • Accept PDF uploads from device storage and image uploads from gallery or camera.
  • Use OCR for images and scanned pages to extract structured text.
  • Create document records with title, type, page count or image count, upload date, and processing status.
  • Support document management actions such as rename, delete, archive, and reprocess.
  • Validate file type, file size, and page count before upload.

Chat with Uploaded Documents · High priority

  • Users can ask questions about uploaded study materials and receive answers grounded only in their documents.
  • Index uploaded document text for retrieval and answer generation.
  • Answer must cite or reference the uploaded source content at a document level.
  • Return a fallback message when the answer cannot be found in the uploaded content.
  • Support multiple documents in one chat session with clear source selection.
  • Prevent hallucinated answers by enforcing retrieval-first prompting and safety checks.

Study Content Generation and Offline Support · Medium priority

  • Users can generate notes and quizzes from study materials and keep selected data available offline.
  • Generate structured notes with bullet points, tables, definitions, key concepts, and summaries.
  • Generate quizzes in MCQ, true/false, fill in the blanks, and short-answer formats.
  • Persist chats, notes, quizzes, and document metadata in local Drift storage for offline access.
  • Sync local changes when network connectivity returns.
  • Show synchronization status and conflict handling for data that changes on multiple devices.

First-Time User Experience

  • Open app and see a clean value-focused welcome screen with sign-in and sign-up options.
  • Choose Google login or email login and complete account verification.
  • Select study role and goals such as university, teaching, or exam prep to personalize prompts.
  • Land in a guided home dashboard with quick actions for chat, upload, notes, and quiz generation.
  • Upload the first document or ask a first question within 2 minutes of successful sign-in.
  • See an immediate success state with suggested next actions to create a habit loop.

1. Home Dashboard

  • The home screen acts as a central command center for study actions, recent activity, and progress shortcuts.
  • Show quick actions for Ask AI, Upload Document, Generate Notes, and Create Quiz.
  • Display recent chats, recent documents, and recent outputs in prioritized cards.
  • Validate signed-in state and surface offline mode when sync is unavailable.

2. Upload and Process Content

  • Users add PDFs or images and the system extracts text, stores metadata, and prepares it for AI use.
  • Show upload progress, file validation, and processing status from queued to complete or failed.
  • For images, run OCR and allow retry when the extraction confidence is low.
  • Reject unsupported file formats, oversized files, or corrupted documents with actionable messages.

3. Ask AI or Chat with Documents

  • Users can chat with Gemini directly or switch into document-grounded mode for study-specific questions.
  • Stream answers token by token with typing indicators and stop/retry controls.
  • Display citations or source references when document mode is active.
  • If the document does not contain the answer, respond with a clear limitation instead of inventing content.

4. Generate Notes and Quizzes

  • Users convert source material into structured study outputs for revision and self-testing.
  • Generate notes using a selectable format such as concise, detailed, or exam-focused.
  • Generate quizzes with answer keys and explanation sections.
  • Allow users to save, rename, export, or revisit generated outputs later.

5. Save for Offline Study

  • The user can continue studying without network access using locally cached content and metadata.
  • Store selected chats, notes, quizzes, and document metadata in Drift database.
  • Show last synced timestamps and pending sync indicators.
  • Queue edits made offline and reconcile them when the connection returns.

Power User Features and Edge Cases

  • Multi-document study mode with retrieval across several PDFs for one question.
  • Document-level source filtering so users can ask only from a chosen chapter or file.
  • Regeneration with tone presets such as concise, detailed, exam-ready, or teacher-friendly.
  • Lightweight export options for notes and quizzes to PDF or text later in roadmap.
  • Low-confidence OCR review flow for scanned pages with manual correction support.
  • Fallback behaviors for empty Gemini responses, partial streaming failure, and repeated timeout recovery.

Visual and Interaction Principles

  • Use a calm premium interface inspired by Notion, ChatGPT, and Linear with generous whitespace and strong hierarchy.
  • Prefer large readable cards, clean line icons, subtle motion, and high contrast text for study use.
  • Support dark mode and light mode with semantic color tokens rather than fixed colors.
  • Keep interactions fast and predictable with immediate feedback on tap, upload, and generate actions.
  • Ensure accessibility with scalable typography, screen reader labels, focus states, and minimum 44px touch targets.
  • Use progressive disclosure so advanced features never overwhelm first-time users.

Ananya opens StudySphere the night before her algorithms exam. She uploads a lecture PDF, asks a few confusing questions, and instantly gets answers grounded in the document instead of generic AI text.

She then generates concise notes and a mixed-format quiz from the same chapter. Because the content is saved offline, she keeps revising during her commute without internet.

By replacing four separate tools with one study workspace, Ananya studies faster and with more confidence, while StudySphere gains a user who returns daily and is likely to upgrade for more AI usage.

User-Centric Metrics

  • Time to first useful answer under 2 minutes for 80% of new users.
  • At least 70% of uploaded documents successfully processed on first attempt.
  • Quiz generation completion rate above 85% for generated requests.
  • Offline content access success rate above 95% for previously synced items.
  • Average session satisfaction score above 4.5 out of 5 in post-action prompts.

Business Metrics

  • 30-day retention above 35% within 6 months of launch.
  • Paid conversion between 8% and 12% of active users within 9 months.
  • Monthly active users growing at least 15% month over month for the first 6 months.
  • Average revenue per paid user increasing through AI quota upsells and annual plans.
  • Support ticket rate below 2% of active users per month.

Technical Metrics

  • API uptime at least 99.9% monthly.
  • P95 AI response latency below 6 seconds for standard chat requests excluding model latency spikes.
  • Document upload and processing success rate above 98% excluding user-side invalid files.
  • No critical security incidents and zero unauthorized document access events.

Tracking Plan

  • Track signup_completed with source, platform, and auth method.
  • Track first_document_uploaded with file type, size bucket, and upload result.
  • Track document_processing_completed with OCR confidence and processing duration.
  • Track ai_chat_started and ai_chat_stream_completed with latency and token counts.
  • Track rag_question_asked and rag_answer_generated with source document IDs.
  • Track note_generated and quiz_generated with format selection and save outcome.
  • Track offline_sync_completed with item count, success rate, and conflict count.

Technical Needs

  • Flutter app using Clean Architecture, Riverpod state management, GoRouter, and Dio networking.
  • Supabase Auth for authentication, PostgreSQL for relational data, and Supabase Storage for files.
  • Gemini API integration for chat, summarization, note generation, and quiz generation.
  • Google ML Kit OCR integration for image and camera text extraction.
  • Drift local database for offline caching, sync queue, and local-first read performance.
  • Row Level Security policies in Supabase for all user-owned data.
  • Background sync jobs or sync orchestration logic for reconnect and retry handling.

Integration Points

  • Supabase Auth for email and Google sign-in.
  • Google Gemini API for generation and conversation.
  • Google ML Kit for OCR on images and camera captures.
  • Supabase Storage for PDF and image file persistence.
  • Optional analytics integration such as PostHog or Firebase Analytics for event tracking.

Data Storage & Privacy

  • Encrypt sensitive sessions and secrets at rest and in transit using platform and service defaults.
  • Apply Supabase Row Level Security so users can only access their own documents and generated content.
  • Minimize stored personal data and make profile fields optional beyond what is required for account function.
  • Provide account deletion and data export workflows to support privacy rights and future GDPR or CCPA obligations.
  • Avoid sending raw unnecessary personal metadata to the Gemini API; transmit only the minimum prompt context required.

Scalability & Performance

  • Use pagination and lazy loading for chat history, document lists, and generated artifacts.
  • Cache recent conversations and indexed document chunks to reduce repeated retrieval cost.
  • Separate file storage from relational metadata so large media does not slow transactional queries.
  • Use queue-based or retry-based processing for OCR and retrieval pipelines when traffic spikes.

Potential Challenges

  • Gemini hallucination risk in document answers; mitigate with retrieval-first prompting, citations, and refusal behavior when evidence is absent.
  • OCR accuracy on low-quality scans; mitigate with image preprocessing, confidence thresholds, and manual re-upload guidance.
  • Offline sync conflicts across devices; mitigate with item versioning, last-write policy for simple fields, and conflict resolution UI for important edits.
  • Large PDF performance and memory pressure; mitigate with chunked processing, background parsing, and page batching.
  • Quota and cost control for AI usage; mitigate with per-user limits, caching, and usage-based premium tiers.

Team & resourcing - Small startup team - 2 Flutter engineers, 1 backend engineer, 1 product designer, part-time QA, and part-time PM.

Phase 1: MVP Foundation · Weeks 1-4

  • Project architecture using Flutter, Riverpod, GoRouter, Dio, Supabase, and Drift.
  • Authentication flows for email and Google login.
  • Base design system with light mode, dark mode, typography scale, spacing tokens, and reusable components.
  • Home dashboard shell, profile screen, and empty-state navigation.
  • Core database schema and RLS policies for users, chats, documents, notes, and quizzes.

Phase 2: Study Core Features · Weeks 5-8

  • Streaming AI chat experience with chat history and markdown rendering.
  • PDF upload flow with metadata management and Supabase Storage integration.
  • OCR for image and camera uploads using Google ML Kit.
  • Document-grounded chat with retrieval-first answering and source references.
  • Note generator and quiz generator with save and regenerate actions.

Phase 3: Offline and Polish · Weeks 9-11

  • Offline caching of chats, notes, quizzes, and document metadata using Drift.
  • Sync queue and reconnect handling for local edits.
  • Improved loading, empty, error, and success states across all screens.
  • Accessibility pass, performance optimization, and analytics instrumentation.
  • QA hardening for upload failures, API errors, and edge-case recovery.

Phase 4: Launch Readiness · Weeks 12-14

  • Production release build for Android, iOS, and web.
  • Security review, privacy policy, and account deletion workflows.
  • Usage quotas, rate limiting, and observability dashboards.
  • Final onboarding improvements and retention-focused polish.
  • Pilot launch with initial users and feedback collection loop.

Paste this into Cursor, Bolt, Lovable, or v0 to start building.

Build a cross-platform AI study assistant called StudySphere using Flutter, Riverpod, GoRouter, Dio, Supabase, PostgreSQL, Supabase Storage, Supabase Auth, Drift, Google Gemini API, and Google ML Kit OCR.

Product summary:
Students, teachers, and exam candidates can sign in, chat with AI, upload PDFs and images, OCR scanned notes, chat with uploaded documents using retrieval-grounded answers, generate structured notes, generate quizzes, and access saved content offline.

Required screens:
Welcome, Login, Sign Up, Forgot Password, Onboarding, Home Dashboard, AI Chat, Document Upload, Document Library, Document Detail, Document Chat, Notes Generator, Quiz Generator, Quiz Result, Saved Items, Profile, Settings, Offline Sync Status, Error States.

Core flows:
Email and Google authentication.
Streaming chat with markdown and code blocks.
PDF and image upload with OCR and processing state.
Chat with uploaded documents using RAG and source citations.
Generate notes and quizzes from source content.
Local-first offline support with Drift and background sync.

Data model:
Users, profiles, chats, chat_messages, documents, document_chunks, document_sources, notes, quizzes, quiz_questions, offline_queue, sync_state, subscriptions or usage_limits, and analytics events.
Use Supabase Row Level Security so users only access their own records.
Store files in Supabase Storage with separate buckets for PDFs and images.

Architecture requirements:
Use clean architecture with presentation, domain, and data layers.
Use repository pattern and feature modules.
Implement secure session handling, optimistic UI where appropriate, pagination, retry logic, and graceful empty/error/loading states.
Design a premium UI inspired by Notion, ChatGPT, and Linear with light and dark themes, responsive layouts, accessibility support, and polished microinteractions.

Build an MVP-ready scaffold with realistic dummy data, reusable UI components, typed models, routing, state management, and clear integration points for Supabase and Gemini. Make the project production-oriented and easy for a team to extend.

Business Idea

# ROLE You are a Senior Product Manager, Senior UI/UX Designer, Senior Flutter Software Architect, Backend Architect, and Technical Writer with 15+ years of experience building AI SaaS products. Your task is to create a COMPLETE, PROFESSIONAL, INDUSTRY-STANDARD Product Requirements Document (PRD) for my application. Do NOT generate a short PRD. Generate a startup-quality, enterprise-level document that could be directly used by designers, Flutter developers, backend developers, QA engineers, and stakeholders. Write everything in professional English. Follow modern 2026 product management standards. --- # PROJECT Project Name: StudySphere AI Project Type: AI-powered Study Assistant (Flutter + Supabase + Gemini AI) Platform: Android iOS Web Desktop (Future) --- # PROJECT GOAL StudySphere AI is an AI-powered learning platform that helps students study smarter using Artificial Intelligence. Instead of switching between ChatGPT, PDF readers, note-taking apps, quiz generators, and flashcard apps, everything should exist inside one beautiful application. The application should provide an excellent user experience with a premium modern design. --- # TARGET AUDIENCE • University Students • College Students • Teachers • Competitive Exam Students --- # MVP FEATURES 1. Authentication - Email Login - Google Login - Forgot Password - Profile 2. AI Chat - ChatGPT-like interface - Streaming responses - Chat History - Markdown support - Code blocks - Copy response - Regenerate response 3. Upload Documents - PDF Upload - Gallery Image Upload - Camera Capture - OCR - Document Management 4. Chat with Uploaded Documents (Basic RAG) - Upload PDF - AI understands PDF - User asks questions - AI answers only from uploaded documents 5. AI Notes Generator - Generate structured notes - Bullet points - Tables - Definitions - Key concepts - Summary 6. AI Quiz Generator - MCQs - True/False - Fill in blanks - Short Questions 7. Offline Support - Save chats - Save notes - Save quizzes - Save uploaded documents metadata --- # TECH STACK Frontend Flutter State Management Riverpod Backend Supabase Database PostgreSQL Storage Supabase Storage Authentication Supabase Auth AI Google Gemini API OCR Google ML Kit Offline Drift Database Routing GoRouter Networking Dio Architecture Clean Architecture Repository Pattern --- # CREATE THE PRD USING THE FOLLOWING STRUCTURE ## 1. Executive Summary Include - Vision - Mission - Product Goals - Business Goals - Success Metrics --- ## 2. Product Overview Include - Introduction - Problem Statement - Solution - Objectives - Product Value --- ## 3. Target Audience Create detailed personas. For each persona include - Goals - Pain Points - Behaviors - Expectations --- ## 4. Scope Include - In Scope - Out of Scope - MVP Scope - Future Scope --- ## 5. Features For EVERY feature include - Description - User Story - Functional Description - Acceptance Criteria - Success Criteria - Error Handling - Edge Cases --- ## 6. Complete UI/UX Specification This section should be extremely detailed. For EVERY screen include - Screen Purpose - Layout Structure - Wireframe Description - Navigation - Typography - Font Family - Font Sizes - Font Weights - Color Palette - Buttons - TextFields - Cards - Icons - Padding - Margins - Border Radius - Elevation - Shadows - Spacing - Grid System - Responsive Behaviour - Dark Theme - Light Theme - Loading States - Empty States - Error States - Success States - Animations - Micro Interactions - Accessibility - UX Best Practices Do NOT skip anything. Design should feel similar to Notion, ChatGPT, Linear, and modern AI SaaS applications. --- ## 7. User Flow Create complete user flows for every module. Use flow diagrams. --- ## 8. Functional Requirements For every module include Inputs Outputs Validation Rules Business Rules Exceptions Dependencies --- ## 9. Non Functional Requirements Performance Security Scalability Availability Accessibility Reliability Maintainability Offline Support --- ## 10. Database Design Design the complete PostgreSQL database. Include Tables Columns Primary Keys Foreign Keys Relationships Indexes Constraints Supabase Policies Storage Buckets ER Diagram --- ## 11. API Specification For every API include Method Endpoint Headers Authentication Request Body Response Error Codes Status Codes Validation Rules Rate Limits --- ## 12. UI Screens Document every screen individually. Include Purpose Components Buttons Navigation User Actions States Validation Animations --- ## 13. Edge Cases List every possible edge case. Examples No Internet Server Down AI Timeout Large PDF OCR Failure Authentication Failure API Limit Exceeded Storage Full Corrupted PDF Invalid Image Empty Response Retry Logic --- ## 14. Security Authentication Authorization Encryption Data Privacy Secure Storage Input Validation API Security --- ## 15. Performance Requirements Cold Start App Launch Time AI Response Time Image Upload Time Caching Lazy Loading Pagination Memory Usage Offline Sync --- ## 16. Testing Strategy Unit Testing Widget Testing Integration Testing Manual Testing Acceptance Testing QA Checklist --- ## 17. Future Roadmap Version 2 Version 3 Long-term Vision --- # OUTPUT REQUIREMENTS - Write in professional English. - Use proper Markdown formatting. - Use headings and subheadings. - Use tables where appropriate. - Use diagrams using Mermaid whenever useful. - Be extremely detailed. - Think like a Product Manager, UX Designer, Flutter Architect, Backend Architect, and Startup Founder. - Do not skip details. - Do not shorten sections. - If the response reaches the token limit, stop exactly where necessary and continue in the next response without repeating previous content until the entire PRD is completed.

Make My PRD

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