Helpeez - Daily Worker App

Inspiration

The domestic help market in India is massive but highly unorganized and fragmented. Millions of households depend on daily help (sweeping, mopping, cooking, and washing utensils), yet they live with constant stress due to unannounced leaves and a total lack of reliability. We noticed that when a helper takes a sudden holiday, it disrupts the entire morning schedule for working professionals and mothers. We built Helpeez to bring structural reliability and peace of mind to domestic help through an organized, subscription-based model with a guaranteed backup system.

What it does

Helpeez organizes household daily chores into predictable monthly subscriptions:

Custom Subscriptions: Users select exactly what chores they need daily and get a flat, predictable monthly rate. Guaranteed Backups: If the primary helper takes a holiday, our automated matching algorithm dispatches a verified standby backup helper to arrive at the exact scheduled slot. Live Radar Tracking: Homeowners can track their helper's arrival on a simulated GPS radar. OTP Check-in: Secure check-ins via OTP to verify the correct helper has arrived. Bilingual Helper Mode: A voice-guided, local-language interface designed specifically for helpers to view tasks and enter check-in codes. Task of the Day & Inventory Alerts: Allows homeowners to dynamically swap tasks and helpers to report low supplies.

How we built it

Native Android App: Built natively using Kotlin and Jetpack Compose. We structured the app using Material3 components, Custom Canvas graphics for the radar map, and custom state managers to handle transitions between the owner dashboard and the bilingual helper dashboard.

Web Prototype: Developed using clean HTML5, vanilla CSS (implementing a modern, responsive light-blue/whitish glassmorphic design), and JavaScript for the interactive leave/backup simulator.

FastAPI Server Backend: Developed with a Python FastAPI server storing relational data in SQLite, providing REST endpoints for user authentication, live shift tracking, and leave assignment logic.

Challenges we ran into

Windows File Locking in OneDrive: Since our workspace was synced with OneDrive, files in the build/ directory were locked in real-time by OneDrive syncing services during compilation, leading to build crashes. We solved this by implementing automatic daemon stops and running custom PowerShell force deletes. Extended Icon Assets: Standard Material3 libraries don't include all extended icons. We resolved this by including the material-icons-extended dependency explicitly in our Kotlin Gradle script.

Accomplishments that we're proud of

Designing and compiling a fully functional Kotlin/Compose native Android prototype within a tight timeline. Designing a Bilingual Voice-Guided Helper Interface to make the app accessible to domestic helpers who may not read English.

What we learned

How to handle complex State transitions in Jetpack Compose to represent real-time updates. Designing products with accessibility at their core (Voice-guided UI for non-technical users). Handling Windows-specific environment conflicts when compiling native Android builds.

What's next for Helpeez - Daily Worker App

Real-world Operational Launch: Executing our business roadmap to recruit, train, and background-verify our first batch of professional helpers, launch hyper-local marketing campaigns, and acquire our pilot cohort of subscribed homeowners. Map & GPS Integration: Integrating official Google Maps APIs for real-time, live-location GPS transit tracking. Smart Inventory Partnerships: Partnering with quick-commerce platforms (like Blinkit or Zepto) to auto-order household cleaning supplies directly when helpers trigger low-inventory alerts. Voice-Checked Checklists: Adding voice recognition models so helpers can mark tasks complete using simple spoken commands in their native languages.

Built With

• android-studio
• css3
• fastapi
• html5
• javascript
• jetpack-compose
• kotlin
• python
• sqlite