In this strategic consulting challenge, your team will develop an innovative solution that transforms unstructured data into actionable community intelligence.
You'll be working with a dataset of physical forms containing citizen profile information (personal data, interests, preferences, diseases, event reviews) that have been captured through mobile photography in non-ideal conditions (blurry images, poor lighting, varied quality).
Design an end-to-end intelligence platform that:
- Extracts unstructured information
- Standardizes it
- Builds a powerful graph database that integrates with a CRM platform
→ This will optimize company interactions with clients.
Go beyond basic data processing—integrate real-time community event data to:
- Create a dynamic recommendation engine
- Identify relevant upcoming events for specific community segments, or other relevant information that can be referenced
- Suggest tailored content based on each client's profile
Show how advanced OCR, graph architecture, and data enrichment can turn fragmented inputs into a cohesive community intelligence system that drives meaningful engagement opportunities.
The dataset includes 30 .jpeg images
Captured using mobile phones, each image contains unstructured profile data about individual citizens, such as interests and preferences
-
Data Transformation Strategists
Convert imperfect inputs into structured, valuable intelligence. -
Connection Architects
Design systems that reveal non-obvious relationships and opportunities.
Create intuitive visualizations of complex relationship networks. -
Sell the Solution, Not Just the Process
Don’t just explain what you built — present it as a valuable solution for the client.
Highlight business impact and propose clear strategic next steps.
- ✅ A working end-to-end prototype demonstrating the complete data journey.
- ✅ Organized, well-documented, and reproducible code.
- ✅ A strategic presentation pitching your solution to the judging panel as EY executive stakeholders.
- ✅ (Optional) A live demo to showcase your solution in action.
📁 Submit a .zip folder containing:
- Your Google Colab notebook with all cells run and outputs shown
- Screenshots of all external tools/visualizations used
📧 Email to: [email protected]
📌 Subject: CRM Document Extraction – GroupName
📋 Include all team members’ names in the email
Only one submission per group
-
🔧 Optimize Data Processing
Develop a robust pipeline for refining imperfect images into structured intelligence, including preprocessing, OCR enhancement, and data cleaning. -
🌐 Strategic Graph Design
Build an efficient graph database linking citizens, interests, locations, and events to uncover valuable insights. -
🚀 Intelligent Data Enrichment
Use SerpAPI to dynamically integrate community events
Build smart recommendation algorithms -
🛠️ Handle Data Quality Issues
Address challenges like formatting inconsistencies, missing fields, and handwriting variations with strong validation mechanisms. -
📊 Impactful Visualizations
Build clear, intuitive views that highlight key relationships for non-technical users. -
🎯 Tell a Strategic Story
In your pitch, don’t just explain the tech. Show how your solution solves real problems and delivers lasting value.
🚨 Mandatory Requirement
All development must be in Google Colab using Python
You are free to choose any:
- 📚 Libraries: Use any tool you need, such as
Pandas,Scikit-learn,LangChain, etc. - 📈 Visualization tools: Python-based tools (
Matplotlib,Seaborn),Power BI,Tableau - 🤖 AI Assistants: Feel free to consult
ChatGPT,GitHub Copilot,Gemini, etc.
-
⏳ You have 4 hours to complete the challenge
🔒 No extensions. Use it wisely. -
🗣 Present a 5-minute consulting pitch
🎯 Simulate a client-facing delivery. You’ll be evaluated on your solution and how well you communicate it. -
👥 Each group may request:
1technical support session (up to 5 minutes)1business support session (up to 5 minutes)
💬 Assistants won’t give you the solution — they'll guide your thinking
This is a consulting-style challenge. Time is tight — here’s how to win:
-
🧑🤝🧑 Assign roles early
E.g., data engineer, business analyst, presenter -
⏱️ Work in parallel
Don’t wait on each other — split & conquer -
🎤 Start building the presentation early
Don’t leave it for the final 10 minutes -
✅ Be realistic
It’s better to deliver a focused, clear, and well-explained solution than a rushed or overly complex one.
🧠 Judging is based on teamwork, structure, and strategic thinking, not just technical skills
This challenge represents an opportunity to demonstrate how emerging technologies can transform imperfect data into strategic intelligence that drives community engagement. The most successful teams will balance technical sophistication with practical implementation considerations, creating a solution that could realistically be deployed in community development initiatives. Your approach should demonstrate how technology can strengthen community connections and create more targeted, relevant engagement opportunities.
🏆 Success means:
- Mastering imperfect data
- Leveraging cutting-edge tech
- Delivering a deployable, business-focused solution
Your tech isn’t just a tool — it’s a bridge to stronger community engagement