AR/VR Lesson Builder for Immersive Classroom Learning

Added Jun 2025 3 design docs

Immersive lessons, like walking through a cell or standing inside a historical scene, measurably improve engagement, but almost no teachers can build them because AR and VR development normally demands game-engine expertise schools do not have. An authoring platform that makes immersive lesson creation as approachable as building a slide deck changes who gets to teach this way.

The intern builds that platform on open web standards. Educators compose lessons in a React interface, arranging 3D content rendered with Three.js and delivered through WebXR so students can join from headsets or ordinary browsers. Generative AI assists content creation by drafting quiz questions, narration scripts, and scene descriptions from a topic prompt, while a Node.js backend manages lessons, classrooms, and real-time collaborative editing. Quizzes and in-scene interactions feed analytics dashboards that show educators exactly where students engage deeply and where they stall.

The intern works across a genuinely modern stack, spanning 3D rendering, WebXR session management, AI-assisted authoring, and collaborative web architecture, and finishes with one of the more distinctive portfolio pieces in education technology.

Related projects

Mentor Matching Platform With Generated Mentorship Plans

Students consistently say mentorship changed their careers, yet most mentorship programs fail on logistics: matches are made on gut feel, plans never get written, and pairs drift apart after one enthusiastic first call. Program coordinators in education need tooling that makes good matches and then keeps those matches productive. The intern builds a platform where generative AI powers both the matching and the follow-through. Student and mentor profiles covering career interests, goals, skill gaps, and availability live in MongoDB, and the AI scores compatibility and generates a personalized mentorship plan for each pair: milestones, meeting cadence, and communication templates that keep conversations purposeful. A Node.js API manages accounts, matching runs, and progress tracking, while the React frontend gives mentors and mentees shared dashboards, session notes, and goal check-ins. Docker packages the services for deployment, and secure authentication protects what are often sensitive career conversations. The intern demonstrates AI product thinking beyond chat, using generation to produce structured plans people follow, alongside the full-stack, team-oriented engineering of a real education platform.

educationresearchdockergenerative-aimongodb+2

PRD · HLD · LLD includedView

TechnologyHard

Logistics Route Planning Engine With Traffic and Weather Awareness

For logistics operators, routing is a daily optimization problem with real money attached: traffic, weather, delivery windows, and fuel costs shift constantly, and a plan that was optimal at six in the morning is stale by nine. Dispatchers need routes that adapt, and finance teams need the cost story behind every plan they approve. The intern builds a route planning platform where generative AI produces and revises delivery plans. Given a fleet, a set of stops, and live constraints such as traffic conditions, weather, vehicle capacity, and driver hours, the AI generates route plans with sequencing rationale and cost analyses, then regenerates them as conditions change. A Node.js backend manages plan generation and real-time updates, MongoDB stores fleets, routes, and revision history, and the React frontend presents interactive maps where dispatchers inspect, adjust, and approve routes before exporting driver schedules. Secure user management keeps operator, dispatcher, and driver views appropriately distinct. The project blends optimization thinking with modern AI tooling and teaches the intern to build software where generated plans must survive contact with real-world constraints and human oversight.

energytransportationgenerative-aimongodbnodejs+1

PRD · HLD · LLD includedView

TechnologyEasy

Lightweight Text Generation API Built With LangServe

The gap between a working LangChain script and a service other software can call is deployment, and LangServe exists to close it: it turns chains into REST APIs with typed endpoints, streaming, and an interactive playground almost for free. Knowing this path from notebook to network service is essential for any developer who wants their AI work used by anyone other than themselves, and this project walks it end to end at a friendly scale. The intern builds a FastAPI project in Python that exposes a text generation chain through LangServe. The intern first constructs the chain itself with LangChain, a prompt template feeding a language model with configurable parameters such as topic and style, then mounts it as a LangServe route, gaining automatically generated endpoints for invocation, batching, and streaming. Around this core the intern adds a health check, request logging, and clear API documentation, then exercises the service from the built-in playground and from an external client script to prove the full round trip works. The project teaches deployment fundamentals for LLM applications: how chains become HTTP services, how FastAPI and LangServe divide responsibilities, what streaming responses look like on the wire, and how to structure a small AI service so that adding the next endpoint is easy, foundations the intern will reuse in every production AI role.

educationfastapigenerative-ailangchain+1

PRD · HLD · LLD includedView