InclusiBot: AI-Driven Robotics for Social Inclusion

InclusiBot is an ongoing project that combines robotics and AI to develop adaptive learning tools aimed at supporting neurodivergent learners and underrepresented communities. The project focuses on creating interactive, accessible, and personalized learning experiences using AI-driven robotics to enhance engagement, communication, and educational accessibility for diverse learners.

By integrating assistive technology, speech recognition, and adaptive learning algorithms, InclusiBot is designed to bridge the gap in inclusive education, ensuring that children with different learning needs can interact, learn, and develop essential skills through a responsive and supportive robotic system.

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Goals of InclusiBot

• Enhance inclusive education by creating AI-powered adaptive learning tools for neurodivergent children and students with special needs.

• Use robotics for engagement, helping students develop communication, cognitive, and problem-solving skills through interactive, real-time feedback.

• Develop personalized learning experiences, ensuring that the robot adapts to individual learning styles and abilities.

• Bridge the accessibility gap in education by integrating speech recognition, gesture-based interaction, and data-driven learning strategies.

My Role & Responsibilities

• Designed and implemented AI-driven adaptive learning models, allowing the robot to respond dynamically to user interactions.

• Developed the robotic system architecture, integrating Arduino, Raspberry Pi, and ROS (Robot Operating System) for motion and interaction.

• Built speech recognition and voice interaction modules using Python (TensorFlow, NLTK, OpenAI API) to improve engagement.

• Integrated OpenCV and deep learning models to allow the robot to detect gestures, facial expressions, and visual cues for better interactivity.

• Designed user-friendly interfaces for teachers and caregivers using Python, Flask, and React.js to control and monitor InclusiBot's behavior.

• Developed machine learning algorithms to analyze user interaction data and personalize learning experiences.

• Led a multidisciplinary team of AI developers, robotic engineers, educators, and UX designers to ensure seamless integration of technology and education methodologies.

• Worked closely with special education professionals to design interactive learning modules that align with neurodivergent students' needs.

Project Status & Upcoming Release!!!

InclusiBot is still in development, with ongoing iterations to improve AI responsiveness, accessibility features, and user engagement.

• A pre-release demo of InclusiBot will be available for early access and testing in April 2025.

• Preliminary results, testing insights, and prototype showcase will be released alongside the first functional version.

• Interested educators, researchers, and accessibility advocates can sign up for early access or stay informed through project updates.