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Landing page
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Platform admin page
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School Admin page
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User profile page
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Staff page
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Lesson Creating /Generating page
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Message Center between staff and parents
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Student Page
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Student learning page(Tactile sense)
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Student learning page(Kinesthetic sense)
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Parent Page
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Student assessment portal for therapist
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Laura AI chat page
Inspiration
Traditional education follows a single, rigid formula: read a wall of text, listen to a lecture, and pass a standardized quiz. But human cognition is inherently diverse. Kinesthetic learners, neurodivergent students, and hands-on thinkers are routinely mislabeled as "distracted" or "slow" simply because existing EdTech platforms deliver static, one-dimensional content.
Meanwhile, parents, educators, and therapists operate in disconnected silos—relying on fragmented notes and delayed updates rather than a unified ecosystem. We built LearnBeyond around a fundamental philosophy: Education should adapt to the learner, not the learner to education.
What It Does
LearnBeyond is an AI-driven, multi-sensory learning platform designed around the VAKT framework (Visual, Auditory, Kinesthetic, Tactile). Rather than forcing all students down the same path, LearnBeyond dynamically customizes lesson presentation and pacing according to how each individual student processes knowledge best.
Key capabilities include:
- Dynamic VAKT Adaptation: Automatically translates lesson concepts into multi-sensory interactive formats—visual concept maps, auditory breakdowns, kinesthetic challenges, and tactile-guided tasks.
- "Laura" – AI Learning Companion: An interactive AI tutor powered by intelligent conversational prompts that guides students step-by-step, builds conceptual intuition, and provides empathetic reinforcement without grading pressure.
- Unified Stakeholder Ecosystem: A multi-role architecture connecting Students, Parents, Teachers, and Therapists into a single feedback loop. Therapists and teachers can monitor cognitive retention markers, track IEP milestones, and share real-time intervention notes.
- Intrinsic Motivation & Gamification: Sustained engagement driven by milestone mastery, badges, and learning streaks that celebrate individual progress.
How We Built It
We engineered LearnBeyond as an enterprise-grade, accessible full-stack platform:
- Frontend & Interface: Built with React and Next.js using Tailwind CSS for high-contrast accessibility, responsive layouts, and interactive multi-sensory components.
- AI Tutoring & Adaptation Engine: Integrated advanced LLM endpoints (Gemini) engineered with structured system prompts to parse complex topics into multi-sensory exercises while powering Laura's interactive voice and dialogue.
- Multi-Role RBAC & Backend: Engineered a role-based access control architecture supporting 6 distinct user roles (Admin, School, Teacher, Student, Parent, Therapist), backed by serverless cloud APIs and real-time database syncing.
- Analytics & Telemetry: Custom learning analytics pipelines that convert session interactions into clean, role-tailored dashboards for educators and clinical therapists.
Challenges We Ran Into
- Translating Physical Modalities to Digital Screens: Replicating tactile and kinesthetic learning digitally required careful UI design—we used interactive drag-and-drop puzzles, rhythm-guided problem-solving, and gesture-driven workflows.
- Calibrating Laura's Persona: Prompt engineering required deep iteration to ensure the AI tutor never outputs condescending corrections, remains relentlessly encouraging, and scaffoldings complex concepts rather than simply handing over the final answer.
- Data Isolation Across 6 Distinct Stakeholders: Designing a unified database schema where parents only see their children, therapists see assigned caseloads, and school administrators have oversight without violating student privacy.
Accomplishments We're Proud Of
- Designing and implementing a production-grade multi-role dashboard spanning students, schools, families, and specialized clinicians.
- Building Laura into a truly responsive learning companion that feels encouraging, intuitive, and natural to interact with.
- Creating an inclusive digital learning environment that accommodates diverse learning needs without segregating or labeling students.
What We Learned
- Multimodal education isn't just a UI feature—it fundamentally changes how students retain abstract principles.
- Breaking down the communication gap between certified therapists, classroom educators, and parents provides immediate, measurable improvements in learning consistency.
- Crafting AI companions for education requires equal focus on emotional safety, encouragement, and pedagogical pacing.
What's Next for LearnBeyond
- Physical Sensor & Hardware Integration: Connecting IoT tactile boards, stylus pressure controllers, and external sensory hardware directly to the LearnBeyond web core.
- Automated IEP Tracking: Exportable clinical reports compliant with occupational and speech therapy standards to streamline institutional special-education documentation.
- Voice-Native Speech Integration: Real-time bi-directional voice interaction with Laura for younger learners who have not yet mastered keyboard input.
Sample users
Platform Admin: [email protected], Password123. School Admin: [email protected], 12345678. Staff: [email protected], 12345678. Student: [email protected], 12345678. Parent: [email protected], 12345678. Therapist: [email protected], 12345678.
for better experience try to download the github repo and run the app in local.
Built With
- geminiapi
- netlify
- next.js
- node.js
- react
- restapi
- tailwind
- typescript
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