banner
  • over view
  • over view
  • over view
  • over view
Overview

To explore and prototype innovative agentic AI workflows that demonstrate the power of autonomous AI agents working together to solve complex business challenges across fashion technology and enterprise data management. 

  • Partner

    nasscom

  • Proposed by

    trent
Theme: Agentic AI in Fashion: From Concept to Catwalk 
Problem Statement

The fashion industry struggles to rapidly identify, interpret, and capitalize on emerging social media trends. The challenge is to create an end-to-end agentic AI workflow that can autonomously discover fashion trends from social platforms, translate them into viable product designs, and showcase them through virtual modeling.

Technical Flow
  • Agent 1
    Trend Discovery

    Discover and analyze fashion trends from TikTok and Instagram, identifying emerging silhouettes, colors, and styles 

  • Agent 2
    Product Design

    Generate apparel designs based on trend insights using generative AI 

  • Agent 3
    Virtual Showcase

    Render designs on AI-generated models and create digital runway presentation

Problem Statement
Theme: Agentic AI: Data to Deployment
Problem Statement

Organizations face challenges in transforming raw data into actionable insights and making them accessible across teams. The goal is to build an agentic AI system that can autonomously process uploaded data, generate visualizations, extract meaningful insights, and deploy them as shareable internal platforms.

Technical Flow
  • Agent 1
    Data Upload & Visualization

    Create interactive dashboards from uploaded datasets 

  • Agent 2
    Insight Generation

    Analyze data and generate key insights using AI models 

  • Agent 3
    Website Deployment

    Deploy working websites to share visualizations and insights internally 

Problem Statement
Desired Outcomes
  • Innovation in Agent Orchestration
    Innovation in Agent Orchestration

    Demonstrate sophisticated multi-agent coordination and communication

  • End-to-End Automation
    End-to-End Automation

    Create fully autonomous workflows from data input to final output

  • Practical Business Applications
    Practical Business Applications

    Deliver solutions with real-world commercial viability

  • Technical Excellence
    Technical Excellence

    Showcase advanced AI/ML implementation and integration skills

  • Creative Problem Solving
    Creative Problem Solving

    Novel approaches to complex multi-step challenges

  • Scalable Solutions
    Scalable Solutions

    Architectures that can handle enterprise-level requirements

  • User Experience
    User Experience

    Intuitive interfaces and seamless user interactions

  • Ethical AI Implementation
    Ethical AI Implementation

    Responsible use of data and AI technologies

Eligibility Criteria
  • eligibility_criteria-1

    Indian startup registered anywhere in India.

    01
  • eligibility_criteria-1

    Early-stage startups working in AI, fashion-tech, or data analytics

    02
  • eligibility_criteria-1

    Innovators will be selected based on their approach note and the shortlisted ones will get two weeks to present a Proof of Concept.

    03
Technical Requirements
  • Experience Level
    Intermediate to advanced programming skills
  • Team Composition
    Multidisciplinary teams encouraged (technical + creative + business)
  • Tools Access
    Participants must have access to required development tools & APIs
  • Infrastructure
    Cloud computing resources (provided or self-managed)
Mandatory Requirements
  • Data Privacy Compliance: Strict adherence to data protection guidelines
  • Original Work: All submissions must be original and developed during the innovation challenge
  • Open-Source Components: Proper attribution for any open-source tools used
  • Documentation: Comprehensive documentation of approach and implementation
Rewards
  • 01
    Winner

    ₹10 lakhs + Paid Project

  • 01
    Runner Up

    ₹5 lakhs + Paid Project

  • 01
    Second Runner up

    Paid Project

  • Each Use Case
Major Milestones & Timeline
Milestone  Date  Description 
Commencement of Innovation Challenge

June 23

Official launch and registration opening
Informational Webinar

July 17

Technical briefing and Q&A session
Round 1 Approach Note Shortlist Deadline

July 31

Initial proposal submission deadline
Round 1 Approach Note Submission Announcement

August 14

Shortlisted teams announcement
Round 2 - POC Building

August 18

Development phase begins
Round 2 - POC Deadline

August 31

Proof of concept submission
Round 2 - POC Announcement

September 15

Finalist teams announcement
Jury Round & Winner Announcement

September 26

Final presentations and awards
Judging Criteria
Judging Criteria
Technical Excellence (40%) 
  • Innovation in agent orchestration and communication
  • Quality of AI model implementation and integration
  • Scalability and performance of the solution
  • Code quality, documentation, and best practices
Creative & Design Quality (25%) 
  • Challenge 1: Creativity and realism of generated fashion designs
  • Challenge 2: Quality of data visualization and user interface design
  • Overall user experience and interface design
  • Innovation in problem-solving approach
Business Impact (20%) 
  • Practical viability and commercial potential
  • Addressing real-world business challenges
  • Market relevance and competitive advantage
  • Potential for scale and adoption
Execution & Presentation (15%) 
  • Technical execution of end-to-end pipeline
  • Quality of final demonstration and presentation
  • Team coordination and project management
  • Completeness of deliverables
Jury Members

Data & Privacy Guidelines

Strict Privacy Compliance 
  • No Personal Data: No Trent customer data or personal information will be shared
  • Public Data Only: All trend data sourced from publicly available social media content
  • Synthetic Datasets: Use of synthetic or open-source datasets for development
  • GDPR Compliance: All solutions must adhere to international data protection standards
Ethical AI Requirements 
  • Bias Mitigation: Demonstrate efforts to identify and reduce algorithmic bias
  • Transparency: Clear documentation of AI decision-making processes
  • Responsible Use: Ethical application of AI technologies
  • Attribution: Proper credit for all data sources and third-party tools
X
Congratulations Shortlisted Startups !
Download