01
Complex Scoring Process
Antler scoring contains several measurements and specialist terms. The experience needed to present detailed information without confusing less-experienced users.
AI MOBILE APP DEVELOPMENT
AI-Powered Deer Scoring App for Hunters and Outfitters
TechVince designed and developed rackline.ai, a cross-platform mobile application that helps hunters upload trail-camera or harvest photos and receive AI-assisted antler score estimates. The platform combines detailed measurements, trophy management, digital badges, community features, maps and outfitter profiles within one connected hunting experience.
FlutterFirebaseNode.jsOpenAI APIiOS & Android
Industry
Hunting Technology
Product
AI-Powered Mobile Application
Platforms
iOS, Android and Admin Dashboard
Services
UI/UX, Flutter, Architecture, Backend Integration & Deployment
Duration
12 Weeks
Status
Public and Live
OVERVIEW
Turning Deer Photos Into Useful Hunting Intelligence
rackline.ai was created for deer hunters, land managers and outfitters who need a faster and simpler way to estimate antler scores from photographs. Instead of relying only on manual measurements, users can upload a trail-camera or harvest image and receive an AI-assisted score estimate with a detailed breakdown. The product also extends beyond scoring. Users can save deer records, create digital badges, explore community activity, browse regional maps and discover outfitter profiles.
Product Type
AI-powered hunting mobile application
Primary Audience
Deer hunters, land managers and outfitters
Main Goal
Turn deer photos into structured and useful score estimates
Delivery Model
Cross-platform app supported by cloud services and administration tools
User Journey
Photo Upload
Camera or gallery
AI Processing
Antler geometry analysis
Score Result
Est. gross score + breakdown
Trophy Room
Save deer records
Community
Share and discover
CHALLENGES
The Main Product Challenges
02
Different Photo Conditions
Trail-camera photos can have poor lighting, difficult angles, long distances or partially hidden antlers. The app needed clear image guidance, processing feedback and retry states.
03
Clear AI Results
Users needed more than a single number. The result had to show a structured breakdown while clearly communicating that the output was an AI-generated estimate.
04
Connected Features
Scoring, trophies, community, maps, messages, outfitters and administration needed to feel like one product rather than separate tools.
05
Cross-Platform Consistency
The application needed to provide a consistent experience across iOS and Android within the 12-week project timeline.
Photo Processing Flow
Deer Photo
Trail cam + harvest
Image Validation
Lighting · angle · distance
AI Analysis
Antler geometry
Measurements
Beams · tines · spread
Saved Trophy
Record · est. score
SOLUTION
A Connected AI Hunting Platform
TechVince delivered a complete mobile and backend solution consisting of a Flutter application for iOS and Android, Firebase cloud services, Node.js backend integration, OpenAI API integration, an Admin Dashboard and app-store deployment support. The application guides users from photo upload to AI analysis and detailed scoring results. Users can then save deer records, share digital badges, explore maps, join community discussions and browse outfitter profiles.
System Architecture
Hunter
Land Manager
Outfitter
Flutter
Mobile App
Firebase
Cloud Services
Node.js
Backend
OpenAI API
AI Layer
Est. Score
Structured Result
Admin Dashboard connects to Firebase Services and Node.js Backend for platform management.
FEATURES
Key Features
01
AI Photo Scoring
Users can upload trail-camera or harvest photos and receive an AI-assisted antler score estimate through a guided mobile workflow. Clear photo selection, preview, processing and completion states help users understand every step.
- Camera or gallery image selection
- Image preview before submission
- Visible AI-processing state
- Structured score result and retry flow
02
Detailed Measurement Breakdown
The result screen displays measurements for main beams, tines, circumferences, inside spread and the estimated gross score. This gives users more context than displaying only one total number.
- Prominent estimated gross score
- Main beam and tine measurements
- Circumference and inside-spread details
- Clear estimate language
03
Trophy Room and Digital Badges
Users can save scored bucks inside a personal Trophy Room and create branded badges that can be shared with friends, clients or on social media. Saved records turn one-time scoring into a persistent personal history.
- Saved deer records
- Trophy gallery and detail view
- Branded score badges
- Share-ready visual assets
04
Community and Messaging
The community experience allows hunters to view posts, share content, discuss deer activity and communicate with other users. This gives users a reason to return between scoring sessions.
- Community feed
- Post details and discussions
- Direct messaging
- Profiles and notifications
05
Trophy Maps
Users can explore deer activity through state and county-based map experiences. The map helps users discover regional hunting activity and community content in a more visual format.
- State-level exploration
- County drill-down
- Location-based content
- Map summary cards and filters
06
Outfitter Directory
Outfitters can create professional profiles containing their location, services, images, hunt types, contact information and starting prices. Hunters can browse and discover outfitters directly inside the platform.
- Outfitter directory
- Location and hunt-type details
- Profile image gallery
- Contact and inquiry actions
TECHNOLOGY
Technology Stack
Confirmed Technologies
● Flutter● Firebase● Node.js● OpenAI API● iOS● Android
PROCESS
From Idea to App-Store Launch
01
Product Discovery
Defined the main users, business requirements and product priorities.
02
User-Flow Planning
Planned scoring, Trophy Room, maps, community and outfitter journeys.
03
UI/UX Design
Created high-fidelity screens and reusable interface components.
04
Technical Architecture
Separated mobile, backend, cloud and AI responsibilities.
Technical Foundation
05
Development and Integration
Built the Flutter app and connected Firebase, Node.js and the AI workflow.
06
Testing and Deployment
Tested the main workflows and prepared the app for iOS and Android release.
RESULTS
Results and Business Value
01
Cross-Platform Product
A consistent application experience was delivered for both iOS and Android.
02
Simplified Scoring Workflow
The product created a guided journey from deer-photo upload to a detailed score estimate.
03
Connected User Experience
Scoring, Trophy Room, community, maps and outfitter discovery were combined in one platform.
04
Foundation for Repeat Engagement
Saved trophies, badges, community and maps give users reasons to return after completing a score.
05
Outfitter Business Opportunities
Professional profiles provide outfitters with a way to present services inside the hunting community.
06
Scalable Architecture
Separated mobile, backend, cloud and AI layers created a foundation for future product expansion.
NEXT STEP
Ready to build something like this?
Tell us what you are building. You will get a direct, honest assessment on a 30-minute call.
MORE WORK
Related projects
Summer Tee
Linen Cap
rackline.ai
A connected AI hunting platform — from photo to trophy.
METRIC
$48.2K
METRIC
12,841
METRIC
2.1%
Northbound
Core Web Vitals in the green, 2.1× more demo signups.
Accounts
Expenses
Invoices
+$4,200 · Matched
-$1,840 · Matched
+$890 · Review
Ledgerly
Manual reconciliation time cut by 70%.