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Curriculum/Programming Languages/MongoDB/Passion Project: Mongo-backed Web App
240 minIntermediate

Passion Project: Mongo-backed Web App

After this lesson, you will be able to: Build a real Mongo-backed web app with Mongoose, schema validation, aggregation pipelines, and Atlas hosting.

A portfolio project showing you can make schema decisions, use aggregations, and ship a deployed app. Differentiates from 'I did the tutorial.'

Prerequisites:MongoDB Atlas

Pick a domain

Something document-shaped.

  1. 1

    Option A: Personal CMS, articles + tags + comments + drafts vs published.

  2. 2

    Option B: Recipe app, recipes + ingredients + ratings + meal plans.

  3. 3

    Option C: Habit tracker with rich event log, habits + check-ins + streaks + insights.

  4. 4

    Option D: IoT-style sensor data, devices + readings (time-series collection).

Required features

Same for any domain.

  1. 1

    1. Node.js + TypeScript + Express or Next.js API routes.

  2. 2

    2. Mongoose with at least 3 schemas + validation.

  3. 3

    3. At least 2 aggregation pipelines for reports / stats.

  4. 4

    4. Indexes on every common query field; explain() in the README showing IXSCAN.

  5. 5

    5. Atlas M0 free tier hosting.

  6. 6

    6. Frontend (any) that reads + writes.

  7. 7

    7. README with: schema decisions (embed vs reference + why), example aggregations, screenshots.

  8. 8

    8. Deployed (Vercel or Railway/Render) with env vars for Atlas connection.

Milestones

Order matters.

  1. 1

    Milestone 1: Atlas cluster + connection. Save credentials.

  2. 2

    Milestone 2: 3 Mongoose schemas with validation. Seed sample data.

  3. 3

    Milestone 3: Express/Next API routes, CRUD for primary entity.

  4. 4

    Milestone 4: One aggregation pipeline (e.g., monthly summary, top-tag report).

  5. 5

    Milestone 5: Indexes + explain() screenshots in README.

  6. 6

    Milestone 6: Frontend that exercises the API.

  7. 7

    Milestone 7: Deploy + smoke-test.

  8. 8

    Milestone 8: Write the README with architecture decisions.

💡 How to talk about this

INTERVIEW: 'I built RecipeBox, a Node.js + Mongoose + Atlas app with 3 collections, aggregation pipelines for popular-recipes reports, and indexes verified via explain(). Deployed on Vercel.' RESUME: 'RecipeBox, Node + TS + Mongoose + Atlas, deployed (link). 3 collections, indexed for read perf, aggregation-based reports.' QUESTIONS to expect: Why Mongo here? How did you decide embed vs reference? Walk me through an aggregation. How would you scale this?

Deployment

Frontend + API: Vercel (free) or Railway. DB: Atlas M0 (free). Total cost: $0. Link goes on resume + LinkedIn.

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