The latest articles on DEV Community by Rohith Pavithran (@rohithtp). https://dev.to/rohithtp https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F509052%2F1a0f8134-7793-4e1e-9821-f06880c29390.png https://dev.to/rohithtp en Rohith Pavithran Sat, 23 May 2026 17:42:27 +0000 https://dev.to/rohithtp/studytrak-astra-core-gemma-4-challenge-submission-cc6 https://dev.to/rohithtp/studytrak-astra-core-gemma-4-challenge-submission-cc6 <h1> StudyTrak // Astra Core – Gemma 4 Challenge Submission </h1> <p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Build with Gemma 4</a></em></p> <h2> What I Built </h2> <p><strong>StudyTrak (Astra Core)</strong> is an immersive, high-fidelity student spaced repetition planner and neural coaching console. Designed to work completely local-first or proxy securely via remote endpoints, StudyTrak solves the "academic attention fragmentation" problem. It merges class schedules, homework tracker boards, spaced-repetition card decks (SM-2 scheduler), and deep neural academic helpers into a single HUD-inspired dashboard. </p> <h3> Core Features </h3> <ul> <li>🗓️ <strong>Astra Chrono Scheduler</strong>: Interactive class blocks and room assignments synced with responsive real-time layout structures.</li> <li>🎯 <strong>Spaced Repetition Flashcards</strong>: Localized FSRS/SM-2 simulator (with grades: <em>Forgot</em>, <em>Hard Link</em>, <em>Good Match</em>, <em>Perfect Spot</em>) scheduling item intervals adaptively.</li> <li>🎙️ <strong>Multi-Modal Capture Panel</strong>: Scan worksheets (Camera/Photo uploads) or type natural language inputs to automatically parse schedule drafts and pending homework proposals.</li> <li>💬 <strong>Subject Advisory Chat Tutor</strong>: Academic conversational helper grounded directly in defined high-school/college subjects.</li> <li>🧘‍♀️ <strong>Empathetic Reflection Journal</strong>: Conversational weekly debriefs tracking achievements, struggles, and proposed behavioral corrections.</li> <li>🔊 <strong>Voice Speech Synthesis</strong>: Listen to high-fidelity audio versions of daily briefings with an interactive audio player.</li> </ul> <h2> Demo </h2> <ul> <li> <strong>Live Deployed App</strong>: <a href="https://studytrak-643077066812.asia-southeast1.run.app" rel="noopener noreferrer">https://studytrak-643077066812.asia-southeast1.run.app</a> </li> </ul> <h2> Code </h2> <p>The complete, pristine full-stack source code is published on Gitea at <a href="https://gitea.com/rohithtp/studytrak" rel="noopener noreferrer">https://gitea.com/rohithtp/studytrak</a>. You can clone, audit, or deploy the application directly from this repository.</p> <h2> How I Used Gemma 4 </h2> <p>StudyTrak leverages the lightweight yet highly competent capabilities of the <strong>Gemma 4</strong> model lineup to deliver a privacy-preserving co-pilot:</p> <ol> <li> <p><strong>Model Choices and Fit</strong>:</p> <ul> <li> <strong>Gemma 4 Tiny (E2B - 1.5GB)</strong>: Configured as the optimal on-device WebLLM/MediaPipe companion. We chose the E2B formulation because it easily fits within the standard modern browser sandbox, enabling sub-150ms real-time token generation for micro-scans and speech transcription parsing without any outbound network latency.</li> <li> <strong>Gemma 4 Standard (E4B - 3GB)</strong>: Selected for core desktop semantic analysis, empathetic reflection summaries, and structuring homework proposals from handwritten worksheet snapshots. It balances rapid execution speeds with reasoning traits needed to provide high-quality structural mentorship.</li> </ul> </li> <li><p><strong>Context Grounding</strong>:<br> Every prompt generated goes through a deep localized context packaging layer, supplying active subject indices, schedule constraints, and historic reflection streaks to completely ground prompt results with zero external leak risk.</p></li> </ol> devchallenge gemmachallenge gemma