ReadRift is an AI-powered reading platform designed to assist users in understanding complex texts through real-time contextual support. It provides instant definitions, phrase explanations, cultural references, and idiomatic insights. This seamless support improves comprehension and makes reading more engaging and accessible, especially for students and second-language readers.
Objectives
The objective of ReadRift is to create a smart reading platform that enhances reader comprehension by offering real-time contextual assistance. It focuses on readers who struggle with unfamiliar language, idioms, or cultural references, aiming to make reading smoother without interrupting the flow. The system provides layered support, transforming reading into an interactive, insightful, and personalized experience.
Socio-Economic Benefit
ReadRift addresses a key issue in education—comprehension gaps caused by linguistic or contextual barriers. It promotes literacy and self-learning by equipping readers with tools to understand complex texts independently. This has far-reaching benefits for ESL learners, students from under-resourced educational backgrounds, and avid readers. On a broader scale, it contributes to supporting lifelong learning.
Methodologies
The platform uses a Flask-based web framework for its back-end and Jinja for dynamic front-end rendering. Google APIs provide context-aware definitions, idiom explanations, and cultural references. A user profiling system adapts content delivery based on reader proficiency. SQLite is used for database management. The system includes modules for admin control, user feedback, and gamification to increase engagement.
Outcome
The expected outcome is a responsive and intelligent reading platform that improves comprehension, encourages reading habits, and supports self-guided learning. Users will benefit from reduced dependence on external lookups and experience a smoother reading journey. The platform will also include analytics to track user progress and preferences, forming the basis for future adaptive learning recommendations.
