Stylumia NXT Hackathon 2024

AI Problem Statement

Idea Submission Format

• PPT - Mandatory [Idea Submission PPT Template]

Prototype Submission Format & Requirements

1.  System Architecture Documentation

1.1 Architecture Overview

• High-level system architecture diagram

• Component interaction flowcharts

• Data processing pipeline visualization

• System scalability considerations

1.2 Technical Implementation Details

• Model architecture specifications

• Feature extraction methodology

• Ontology structure and hierarchy

• Integration approach for multi-modal data

• Performance optimization strategies

2.  Ontology Framework

•  Ontology Documentation

  • Complete ontology schema

  • Class hierarchies and relationships

  • Property definitions and constraints

  • Extensibility mechanisms

  • Version control and update methodology

•  Feature Taxonomy

  • Comprehensive feature categorization

  • Cross-category relationship mapping

  • Context-aware feature definitions

  • Attribute inheritance patterns

  • New trend incorporation mechanism

3.  Implementation & Results

•  Code Repository

  • Well-documented source code (GitHub/GitLab)

  • Setup and deployment instructions

  • Dependencies and requirements

  • API documentation (if applicable)

•  Performance Analysis

  • Feature extraction accuracy metrics

  • Processing speed benchmarks

  • Scalability test results

  • Error analysis and handling

  • Edge case documentation

• Sample Outputs

  • Processed results from multiple categories

  • Feature extraction examples

  • Ontology application demonstration

• Cross-category analysis examples

Submission Package Requirements:

• Presentation Materials

  • Executive summary (2 pages max)

  • Technical presentation slides (20 slides max)

  • Demo video (5-10 minutes)

  • Interactive notebook demonstrations

• Documentation Format

  Technical documentation in PDF format

  • Architecture diagrams in standard formats (SVG/PNG)

  • Interactive demonstrations (if applicable)

• Code Repository

  • Private GitHub/GitLab repository with access provided

  • md with clear setup instructions

  • txt or equivalent dependency file

  • Code comments and documentation

• Results & Analysis

  • Detailed performance metrics

  • Test results across categories

  • Comparative analysis with baselines

  • Error analysis and mitigation strategies

Evaluation Criteria:

• Technical Excellence (40%)

  • Architecture design

  • Implementation quality

  • Performance metrics

  • Scalability considerations

• Innovation (25%)

  • Novel approaches

  • Creative solutions

  • Future-readiness

  • Technical advancement

1. Practical Applicability (20%)

   • Business value

   • Implementation feasibility

   • Maintenance considerations

   • Integration capabilities

1. Documentation & Presentation (15%)

   • Code quality

   • Documentation clarity

   • Presentation effectiveness

   • Demo quality

Additional Notes:

• All submissions must handle the provided dataset of 100k images

• Solutions should demonstrate scalability beyond the provided categories

• Innovation in handling multi-language support will be considered a plus

• Emphasis on both accuracy and processing efficiency

• Clear documentation of assumptions and limitations