We are seeking experienced freelancers to develop ReadMind, an intelligent personal reading assistant designed to enhance reading efficiency, comprehension, and enjoyment using AI. This platform will help users discover books, digest content faster, and track reading habits, all within a seamless experience.
Key Features to be developed:
- Smart Book Recommendations: Implement personalized suggestions based on reading history, genre preferences, and mood.
- AI Summarization: Develop functionality for instant chapter-wise or full-book summaries, suitable for study, research, or quick insights.
- Reading Analytics: Integrate features to track reading speed, progress, and retention, providing users with actionable insights.
- Interactive Q&A: Enable users to ask questions about the book's content and receive AI-generated explanations.
- Offline Mode: Allow users to save summaries and notes for access without an internet connection.
- Multi-Platform Sync: Ensure seamless integration across web, mobile (iOS/Android), and e-reader platforms.
Target Audience:
- Students & Researchers: Users who need to quickly extract key points from textbooks and academic papers.
- Busy Professionals: Individuals looking to stay updated with book insights in minimal time.
- Avid Readers: Users interested in discovering new books and optimizing their reading habits.
- Book Clubs: Groups seeking tools to facilitate discussions with shared annotations.
Technology Stack Requirements:
- Backend: Proficiency in Python (FastAPI/Flask) and experience with NLP libraries such as spaCy and Hugging Face Transformers.
- ai/ml: expertise in fine-tuning large language models (llms) like gpt-4, claude, or open-source alternatives such as llama 3 for summarization and q&a functionalities.
- Database: Experience with PostgreSQL for structured data and Firebase for user data management.
- Frontend: Strong skills in
React.js for web development and React Native for mobile application development.
- APIs: Familiarity with integrating third-party APIs, including Google Books api for metadata and generative ai apis like openai/anthropic.
Unique Selling Points (USP):
- Context-Aware AI: The system should adapt recommendations and summaries based on the user's current goals (e.g., 'Study mode' versus 'casual reading').
- Privacy-First: Implement local processing options for sensitive content to ensure data privacy.
- Monetization Ready: The platform is envisioned with a freemium model, offering paid tiers for advanced features such as audiobook summaries.
Potential Challenges:
- Copyright Issues: The project will require strategies to partner with publishers for licensed content, which may involve legal and business development efforts.
Delivery term: Not specified