Helps explore early design ideas and user journeys before investing in high-fidelity UI/UX. Participants submit wireframes, sketches, or flow mockups to visualize initial concepts.

Purpose: To visualize user flow and interface ideas before full design execution.

Participants propose structured technical solutions and implementation plans. Solutions consider feasibility, performance, scalability, and cost trade-offs. 
Purpose: To evaluate different technical strategies before starting development.

Submissions define the complete system architecture including components, interactions, and dependencies to build scalable applications. 
Purpose: To ensure strong foundational design before starting implementation. 

Recommend the ideal frontend, backend, DB, cloud, and dev tools for the project. Participants justify selections based on performance, maintainability, and cost. 
Purpose: To choose the best-fit technologies for building the solution. 

Create high-fidelity user interface designs and intuitive user experiences for web or mobile applications. Challenges focus on visual design, layout, usability, and overall flow. 
Purpose: To design polished, user-friendly interfaces that meet user and business needs. 

Quickly develop user experience solutions in short timeframes (72 hours). These challenges prioritize speed and clarity over pixel-perfect visuals, often using sketches, rough wireframes, or basic flows. 
Purpose:  To quickly explore and validate user flows and interaction ideas.

Focus on blue-sky thinking and idea exploration. Designers propose visual themes, creative layouts, or product concepts with minimal constraints, allowing for innovation. 
Purpose:  To explore creative design directions and inspire product vision.

Develop low-fidelity structural designs to map out key screens, interactions, and content placement. Submissions typically avoid color or styling and focus on layout and hierarchy. 
Purpose:  To define layout and structure before applying visual design.

Create reusable UI components, patterns, and guidelines that ensure visual consistency across products. Includes typography, colors, spacing, and interactive elements. 
Purpose:  To ensure consistency and efficiency with reusable design elements.

Deliver comprehensive style guides outlining brand and design standards for digital applications. Guides include usage rules for logos, color palettes, icons, and UI components. 
Purpose:  To document brand and design rules for consistent digital output. 

Build a working version of a product with key features to demonstrate core functionality. Useful for validating ideas and attracting feedback. 
Purpose: To test product-market fit before full-scale development. 

Quickly develop a functional prototype to explore feasibility and gain stakeholder validation. Often built without full production readiness. 
Purpose: To demonstrate potential solutions in a short time and reduce risk. 

Design a non-functional, interactive prototype to simulate user flows and interface navigation. Created using Figma, Adobe XD, or similar tools. 
Purpose: To validate UX and gather early feedback on functionality and flow. 

Build AI-powered apps using machine learning, computer vision, or NLP. Leverages pre-trained models or custom ML pipelines.

Purpose: To deliver intelligent applications with automation and predictions. 

Develop apps to interface with smart devices, sensors, or real-time device data. Includes data capture, processing, and control mechanisms. 
Purpose: To enable smart, connected solutions for IoT ecosystems. 

Create immersive applications using Augmented or Virtual Reality frameworks. Supports simulation, gaming, and enhanced interaction. 
Purpose: To deliver interactive, immersive user experiences. 

Develop decentralized apps (DApps), smart contracts, or blockchain-based systems. Focused on transparency, immutability, and trust. 
Purpose: To build secure, decentralized platforms using blockchain technology. 

Develop full-featured web apps using modern frameworks for frontend and backend. Includes responsive design and API integrations. 
Purpose: To create scalable web platforms accessible via browsers. 

Build native or hybrid mobile apps for Android/iOS using Flutter, React Native, or native SDKs. 
Purpose: To provide seamless mobile experiences for end users. 

Transform legacy applications with updated tech stacks, modularization, and cloud migration. 
Purpose: To upgrade old systems to improve performance and maintainability. 
 

Design and build applications that adapt fluidly to different screen sizes and devices. 
Purpose: To ensure consistent user experience across devices.

Create simulated APIs with dummy data to mimic backend behavior. Useful during frontend development or to test integrations before real APIs are available. 
Purpose: To allow UI development and testing before real API is built. 

Build production-ready RESTful APIs for CRUD operations, data transfer, and integration. 
Purpose: To expose backend logic and business functions via REST interfaces. 

Design and implement SOAP-based services using WSDL standards for legacy or enterprise systems. 
Purpose: To support structured communication in enterprise ecosystems. 

Build reusable backend services that expose logic or data for consumption across systems. 
Purpose: To provide standardized interfaces to backend capabilities.

Build small, independent, deployable services that perform specific business capabilities. 
Purpose: To create scalable and maintainable systems using microservice architecture. 

Define and design consistent, well-documented JSON request and response formats for use in APIs. Focuses on payload clarity, error structure, and extensibility. 

Purpose: To ensure clean, standardized API communication formats. 

Build custom APIs or modules that connect to third-party data sources, services, or platforms (e.g., CRMs, databases, analytics tools). These connectors extract, transform, and deliver data in standardized formats for internal use. 

Purpose: To enable seamless integration of external data sources into enterprise systems. 

Develop enterprise-grade Java backend applications using Spring Boot, typically including APIs, DB access, and security. 
Purpose: To quickly build robust Java backend systems. 

Validate that backend APIs function as expected with proper inputs, outputs, and error handling. 
Purpose: To ensure API reliability, correctness, and security. 

Evaluate the user experience and interaction design for usability, accessibility, and intuitiveness. 
Purpose: To ensure user satisfaction and flow efficiency.

Write and execute tests for individual functions or modules to ensure code correctness. 
Purpose: To verify small parts of the system work as intended. 

Conduct random, unstructured testing to find unexpected crashes or behaviors. 
Purpose: To uncover edge-case bugs and stress test applications. 

Observe real users completing tasks to identify confusion or UX issues. 
Purpose: To validate product usability under real-world scenarios.

Develop detailed test cases based on business logic and system requirements. 
Purpose: To standardize and document expected application behavior.

Validate system behavior under real operating conditions, devices, networks, and user patterns. 
Purpose: To detect issues that occur in actual environments.

Informally explore the app to identify bugs and quality issues without predefined scripts. 
Purpose: To discover issues from a user-like perspective.

Ensure digital experiences are usable for users with disabilities, following WCAG standards. 
Purpose: To promote inclusive design and legal compliance. 

Perform broad testing with minimal documentation to find unpredictable bugs. 
Purpose: To catch issues beyond defined test plans. 

Develop dashboards using popular BI tools to visualize KPIs, reports, and trends. 
Purpose: To enable data-driven insights through visual storytelling.

Build a custom dashboard from scratch to display business metrics and real-time analytics. 
Purpose: To provide clear views into system or business performance. 

Optimize or modernize outdated dashboards for better clarity, performance, and UX. 
Purpose: To improve usability and extract better insights. 

Use historical data to predict future outcomes using statistical and machine learning models. 
Purpose: To make data-driven decisions and improve planning accuracy. 

Develop models that analyze visual data from images or videos for tasks like object detection, classification, or OCR. 
Purpose: To automate visual recognition and extract insights from media.

Design data pipelines, ETL workflows, and data models for structured and unstructured data. 
Purpose: To ensure reliable, scalable, and clean data processing. 

Work with human language data to build models for tasks like sentiment analysis, text summarization, and entity recognition. 
Purpose: To extract meaning and automate text-based insights.

Develop supervised and unsupervised models for classification, regression, clustering, or recommendation. 
Purpose: To automate decision-making and data pattern recognition.

Solve problems requiring optimal resource allocation, scheduling, or routing using algorithms or heuristics. 
Purpose: To improve efficiency and reduce operational cost. 

Train agents to make decisions by interacting with an environment and learning from feedback. 
Purpose: To develop adaptive systems that learn optimal behavior.

Analyze temporal or sequential data to detect trends, anomalies, or patterns. 
Purpose: To understand time-based behavior and make predictions. 

Evaluate the performance and safety of large language models (LLMs) across various tasks and edge cases. 
Purpose: To ensure robustness, accuracy, and alignment of LLMs.

Fine-tune or train machine learning models from scratch using domain-specific datasets. 
Purpose: To improve model accuracy and performance on target tasks.  

Build AI agents that can autonomously plan and perform tasks by combining reasoning, tools, and memory. 
Purpose: To create proactive, autonomous digital workers.

Create bots that mimic real user behavior for app testing or data simulation. 
Purpose: To simulate real-world usage and load scenarios. 

Tune prompts, system messages, and architecture to improve LLM response quality, cost-efficiency, and latency. 
Purpose: To refine LLM output and system performance. 

Design multi-agent workflows where different AI agents collaborate to complete a complex task. 
Purpose: To build orchestrated systems that divide and conquer tasks. 

Explore how AI/LLMs can be applied to specific industries or business functions to identify high-value use cases. 
Purpose: To align AI opportunities with business goals.