Your real problem  ·  Your AI solution  ·  Scroll to build it

AI Challenge Lab

5 Live Challenges Below  ↓  Pick One & Build Your Solution
Choose Your Track — Then Pick a Challenge Below Practice challenges  ·  Guided exercises  ·  Skill outcomes  ·  Community
🎨
Track 1 · No-Code
Use AI tools.
No coding needed.

You have domain knowledge — now apply AI strategically. Prompt, design & build workflows without writing a single line of code.

Business Education Marketing Arts
⚙️
Track 2 · Low-Code
Connect AI agents.
Light scripting welcome.

You can script a bit. Now wire it all together — LLM pipelines, APIs, RAG & agent frameworks to build functional AI prototypes.

Engineering Data Automation DevOps
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Track 3 · High-Code
Build & deploy AI.
Production-grade systems.

You're an AI/ML engineer or researcher. Fine-tune models, architect real systems & ship solutions that can scale beyond the classroom.

AI / ML Data Science Research Strategy

Not sure which track? Register — we'll guide you from there.

Register Your Track  →
Pick a Challenge. Build a Solution.

Five real-world problems across environment, health, mobility, water, and energy. Browse live challenges, choose your skill track, and submit your solution to be featured on eeAIglobal.

How It Works
5 Steps to Your Solution
1
Select Challenge
Choose a real-world problem domain that interests you
2
Pick Your Track
No Code, Low Code, or Full Build — your skill level, your rules
3
Start Building
Guided steps, prompts, and frameworks open up instantly
4
Submit Solution
Upload your prototype, app, deck or MVP with context
5
Get Recognised
Your solution is showcased with your name and tier — share to LinkedIn
Filter by Track:
Active Challenges
Choose Your Problem
🌫
Environment Intermediate

Air Quality Near Schools

Predict and reduce student exposure to harmful air pollutants during school hours. Build a system that acts before damage is done.

AI alert system for parents
Traffic restriction planning tool
School-time pollution forecaster
247 attempts Start Challenge →
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Preventive Health Beginner

Catch Disease Early

Most lifestyle diseases are detected too late. Build an early intervention system that spots risk before symptoms appear.

AI health risk chatbot
Habit tracking + nudging system
Community health dashboard
382 attempts Start Challenge →
🚗
Urban Mobility Advanced

Peak-Hour Congestion Fix

Every day, millions of hours are lost in traffic. Design an AI-based system that cuts commute time during peak hours in city hubs.

AI traffic signal optimizer
Smart route recommendation engine
WFH prediction & scheduling model
194 attempts Start Challenge →
💧
Water Safety Intermediate

Safe Drinking Water Access

Millions drink contaminated water daily. Design an AI solution that monitors, detects, and recommends safe water access paths.

AI contamination detection system
Smart filtration recommendation app
Real-time water quality monitor
159 attempts Start Challenge →
☀️
Clean Energy Beginner

Solar Adoption Accelerator

Solar is cost-effective but under-adopted. Build a tool that helps communities understand the ROI and make the switch easier.

AI-based ROI calculator
Neighbourhood solar planning tool
Energy usage optimizer
311 attempts Start Challenge →
For Institutions
Bring Challenge Lab to Your Organisation

Colleges and corporates get curated cohorts, facilitator support, branded certificates, and aggregated insights — all through a single engagement.

Starter
College Cohort
₹499/student
Min. 20 students · One challenge
  • ✓ Access to 1 challenge domain
  • ✓ All 3 skill tracks included
  • ✓ Digital certificate per student
  • ✓ LinkedIn share pack
  • ✓ Cohort leaderboard
Growth
Campus License
₹999/student
Min. 50 students · All challenges
  • ✓ All 5 challenge domains
  • ✓ Facilitator walkthrough session
  • ✓ Branded cohort report
  • ✓ Instructor dashboard access
  • ✓ Top solution featured on eeAIglobal
  • ✓ Priority editorial review
Enterprise
Corporate Edition
Custom
Team-based · White-labelled option
  • ✓ Custom challenge design
  • ✓ L&D integration support
  • ✓ White-label branding available
  • ✓ Live facilitation by eeAIglobal
  • ✓ Competency mapping report
  • ✓ Post-cohort advisory session
Environment · Intermediate

Air Quality Near Schools

Predict and reduce student exposure to harmful air pollutants during peak school hours.

① Understand
② Pick Track
③ Build
④ Submit

The Problem Space

Air pollution near schools peaks during drop-off and pick-up times. Children are disproportionately vulnerable. Most schools have zero monitoring systems.

Your Mission

  • Build an AI alert system that notifies parents about air quality before school hours
  • Design a traffic restriction plan to reduce vehicle idling near schools
  • Create a forecasting tool that predicts pollution levels by time of day

Select Your Skill Track

All tracks are valid. Choose based on your current skills and what you want to build.

💡
No Code
AI tools, prompts, diagrams & decks to propose your solution
⚙️
Low Code
Build with Glide, Bubble, Make.com, or AI-assisted spreadsheets
🖥
Full Build
Code a working prototype or app with APIs and data pipelines

Guided Steps to Your Solution

Work through these steps at your own pace. There's no time limit — what matters is the thinking.

  • Define the problem clearly: who is affected, where, and when?
  • Identify what data you would need (or could simulate)
  • Map your AI or logic layer: what decisions does your system make?
  • Sketch your user interface or output format
  • Think about impact: how many people does this reach?
💡 Tip: A well-reasoned deck or diagram from the No Code track can be just as impressive as working code. Focus on clarity of thinking.

Submit Your Solution

Share what you built. Every format is welcome — prototype, deck, app link, or video demo.

📎
Upload Your Prototype or Deck

PDF, PPTX, ZIP, video — any format accepted (for email reference)

🎉

Solution Submitted!

Your work has been received and will be reviewed by the eeAIglobal editorial team. Here's a sample of what published solutions look like:

Featured Solution · Full Build Track
AK
Arjun Kapoor
⭐ Conscious Builder — Gold Tier

Built a real-time air quality dashboard that pulls PM2.5 data from OpenAQ, runs a time-series forecast using Facebook Prophet, and sends WhatsApp alerts to parent groups 30 minutes before school starts. Piloted with 3 schools in Bengaluru — 94% parent adoption in week one.