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Objective: Developing a cross-platform application with machine learning integration for managing a virtual wardrobe, creating outfits, and providing personalized fashion recommendations.
Objective: Developing a cross-platform application with machine learning integration for managing a virtual wardrobe, creating outfits, and providing personalized fashion recommendations.
Task Breakdown:
Task Breakdown:
- Define Requirements:
Objective: Gather and finalize user requirements and technical specifications.
Tasks:
Conduct stakeholder interviews to gather input.
Research technical feasibility for machine learning and cross-platform frameworks and best methods.
Document technical and non-technical requirements.
Define Minimum Viable Product (MVP).
Deliverables: Finalized requirements document.
- Design Phase (current phase)
Objective: Create a user-centered design for the app.
Tasks:
Develop wireframes for all app pages (login, home, scanner, create, collections).
Design workflow diagrams for core functionality (e.g., outfit creation, scanner accuracy).
Create prototypes for testing user interaction.
Review and refine designs based on feedback.
Deliverables: Final wireframes and prototypes.
- Development Phase
Objective: Build the app according to the project plan using cross-platform tools.
Tasks:
Front-End Development:
Implement UI for login, home, scanner, create, and collections pages.
Ensure cross-platform compatibility.
Back-End Development:
Set up a Firebase or Flask backend for user data management and authentication.
Build APIs to connect the app to the ML model and database.
Machine Learning Integration:
Train a model for outfit generation using TensorFlow or PyTorch.
Convert the model to a deployable format (Core ML for iOS, TensorFlow Lite for Android).
Integrate the ML model into the app.
Deliverables: Fully functional MVP.
- Testing Phase
Objective: Validate the app through rigorous testing.
Tasks:
Conduct unit tests for individual components.
Perform integration testing for ML functionality.
Test user workflows and usability.
Collect feedback and address issues.
Deliverables: Test report and refined app version.
- Deployment and Presentations
Objective: Finalize and present the app.
Tasks:
Package and deploy the app to a test environment.
Prepare documentation and a final presentation.
Demonstrate the app’s functionality and key features to stakeholders.
Deliverables: Final app version and project presentation.
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