Zendalona

Mentors: Student: SHADIL AM

Maths-Mantra is an inclusive Android math learning app designed for visually impaired and sighted learners, transforming the way mathematics is explored through touch, sound, and interaction. Building on a foundation of accessible learning, the app introduces Quick Play, Learning Mode, and additional game modes, offering varied, engaging experiences for learners of different skill levels. It integrates device sensors such as the gyroscope, accelerometer, and multi-touch inputs to make geometry, number lines, and spatial concepts interactive and tangible. With gesture-based navigation, audio-tactile feedback, adjustable difficulty levels, and localization support, Maths-Mantra creates a multi-sensory, barrier-free environment that empowers students to understand and enjoy mathematics in a playful, engaging, and fully accessible way.

Mentors: Student: Akshay Waghmare

This project aims to make the Ubuntu Desktop Provision installer fully accessible to visually impaired users by addressing key accessibility issues in its Flutter-based interface. Currently, the installer lacks proper screen reader support, suffers from poor keyboard navigation, and fails to provide audio feedback, making it unusable for blind and low-vision users, especially those relying on Accessible-Coconut, a Ubuntu-based distribution developed by Zendalona. The solution involves fixing both architectural and UI-level problems in how Flutter components interact with Linux accessibility frameworks (AT-SPI). It will include: - Implementing semantic accessibility wrappers - Ensuring proper focus and navigation flow - Enhancing screen reader feedback using Orca - Improving the accessibility of complex UI components, such as partitioning - Conducting extensive user testing and providing detailed documentation Deliverables - A fully accessible Ubuntu installer with complete screen reader compatibility - Keyboard-navigable UI with audio cues and meaningful semantic labels - Documentation and developer guidelines for future accessibility improvements - Tested integration with Accessible-Coconut 24.04 This project will enable independent system installation for visually impaired users and contribute long-term value to Flutter-Linux accessibility efforts and the broader open-source community.

Mentors: Student: Sahil Rakhaiya

Liblouis Table Editor, a tool that helps users create and edit braille translation tables used by screen readers and braille devices. Editing these tables manually is difficult, especially when working with Unicode code points and special rules. I will add important missing features like forward and backward translation testing, fix existing bugs, improve the interface. I will also create easy-to-use installers for Linux and Windows.

Mentors: Student: Nihal_Rodge

Summary: The goal of this project is to improve the Linux-Intelligent OCR Solution (LIOS), an open-source tool for text extraction from images, scanned documents, and PDFs using Tesseract and Cuneiform OCR engines. The primary focus will be on enhancing usability, accessibility, and performance, particularly for visually impaired users, while also addressing several existing issues. Problem: LIOS is a powerful tool, but there are several issues that hinder its usability and accessibility. These include problems with the UI/UX design, scanner compatibility, OCR integration, and the lack of proper error handling, which often leads to crashes. Additionally, there are several other bugs that need attention, such as issues with text focus, icon display, and preview functionality. Solution: The project will focus on addressing these issues and improving the overall user experience: UI/UX Improvements: Simplify the interface and improve accessibility, particularly for low-vision users. Bug Fixes & Code Refinements: Address the following specific issues: Text Focus: Ensure the textview regains focus after using Goto Line and Goto Page. Tab Focus: Improve tab focus handling for better navigation. Icon Display: Fix the larger icon issue in the icon view for consistent UI presentation. Print Preview: Fix the Print Preview functionality, which currently isn’t working as expected. Error Handling: Implement proper error handling to prevent crashes and unexpected behavior. Image Rotation: Resolve the automatic deletion issue when rotating selected areas of the image. Find/Replace Accessibility: Ensure the Find and Find & Replace features are fully accessible and functional. Scanner Compatibility: Improve compatibility with various scanner models, ensuring better cross-platform support. Tesseract Integration: Enhance the detection of Tesseract data paths for more accurate OCR functionality.

Mentors: Student: Faisal Majeed

In the current accessible bluff game, users often have to wait for other players to take their turn, which can be tedious and boring. To address this, I propose developing an AI Bluff Bot that allows users to play anytime against a bot and adjust the difficulty based on their experience. The AI Mentor feature will provide real-time hints based on past moves to assist players during gameplay. All bot actions and AI Mentor features will be fully accessible, ensuring an inclusive gaming experience for all users.