Sustainable Facility & Estate Intelligence

Name: Sustainable Facility & Estate Intelligence
Start: 2026-09-21T18:29:00.000Z
End: 2026-09-21T18:29:00.000Z
Location: Bhubaneswar and Rourkela

Somewhere on your campus, a light has been on since 2019. Find it. Then find the other four hundred.

Registration closed

21 Sept 2026

Team size

3–6 members

Rounds

2 rounds

Mode

In person

Venue

Bhubaneswar and Rourkela

Registration closed

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Role: Data Scientist (Sustainability Analytics)
Format: Evaluation only
Prize: ₹60,000
Deadline: Closed 21 Sept 2026
Registered: 374

Evaluation only · Open

Build an AI-powered decision dashboard for government-run and institution-run facilities across India, covering sustainability, safety and operations — air quality, waste management, water usage, energy consumption, traffic flow, asset utilisation, emissions and climate resilience. It must adapt to hospitals, colleges, company campuses, public-sector units, industrial estates, municipal facilities and large mixed-use institutional zones.

Overview

Outcomes

A single view of a facility's sustainability, safety and operations data instead of eleven registers and one very tired caretaker
Anomalies detected and short-term changes forecast before they become complaints
Plain-language recommendations an administrator can act on the same morning
Role-based views for administrators, operations teams and sustainability officers
A sustainability scorecard the institution can actually publish

Overview The dashboard should ingest open, synthetic or sensor-style data, visualise trends, detect anomalies, forecast short-term changes and generate plain-language recommendations for administrators. Modules may include air-quality monitoring, waste-bin overflow prediction, energy-usage optimisation, water-use alerts, traffic or parking hotspot analysis, equipment utilisation, safety incident trend monitoring and sustainability scorecards. A strong prototype combines data visualisation with AI-generated insight, scenario simulation and action recommendations — changing collection routes, sending advisories, adjusting energy schedules, identifying pollution hotspots, optimising facility maintenance, or prioritising inspection zones. The Story The estate officer has a spreadsheet, a WhatsApp group, and a strong feeling that something is wrong. The electricity bill went up 18% and nobody knows why. Bin number 7 near the canteen overflows every Wednesday, reliably, like a festival. The water tank ran dry twice last month and both times somebody blamed the pump. All of this data exists. None of it is in the same room. Put it in the same room and let it talk.

Problem statement

Teams may frame the problem for a government hospital, engineering college, municipal campus, industrial estate, company campus or public-sector manufacturing facility
Prefer Python, pandas, scikit-learn, Prophet or other forecasting libraries, Streamlit, Power BI-style dashboards, geospatial libraries, map APIs, IoT simulators and GenAI-based insight generation
Use public datasets, synthetic IoT feeds or manually prepared sample data. State the assumptions behind every forecast and recommendation
If using environmental, safety or health-impact data, do not overstate conclusions — outputs are decision-support insights, not official measurements
The solution should be configurable for different facility types and should support role-based views for administrators, operations teams and sustainability officers

For the Grand Finale, your build should include:

A working dashboard ingesting at least three data streams for a clearly declared facility type, with data sources and assumptions documented
At least two AI/ML components — a forecast and an anomaly detector — with performance shown honestly, failures included
An insight-and-recommendation layer producing plain-language actions tied to specific, named interventions
A scenario simulation ("what if collection shifts to Tuesday", "what if HVAC runs an hour less") with projected impact
Role-based views plus a configuration path showing how the same build serves a hospital and an industrial estate

The Grand Finale is judged on:

Sustainability and operations relevance across Indian facilities — 20%
Data engineering and visualisation — 20%
AI/ML modelling, forecasting or anomaly detection — 20%
Actionability of recommendations — 15%
Usability for administrators, explainability of assumptions, and demo quality — 25%

Rounds

This challenge runs in 2 rounds. You enter once, and the same entry carries through.

1
Mid evaluation
Being judged
- In person · Bhubaneswar and Rourkela
- Submit by 13 Oct, 7:45 pm IST
- 8 deliverables to submit
- The top 5 move on to Grand Finale
2
Grand Finale
Coming up
- In person · BPUT, Rourkela
- Submission dates to be announced
- 5 deliverables to submit
- The final round. Results are decided here

Deliverables: Mid evaluation

Your idea in one line
One or two sentences a judge can read in ten seconds: what you are building and who it is for.
What will be working by the finale?
The parts you commit to having running at the Grand Finale, most important first.
Tech stack and hardware you plan to use
Languages, frameworks, models, boards and sensors, and anything you still need to get hold of.
A diagram, sketch or mock-up of your idea
One image that shows how it works: an architecture diagram, a wireframe, or a photo of a sketch. Put anything more in your deck.
What have you built or tested so far?
Optional. Anything already running, measured or prototyped, even if it is rough.
Pitch deck (PDF)
Optional. Export your slides as a PDF. Judges read it on the page, next to your answers.
GitHub repository
A link to your code, if you have some yet.
Demo video
A YouTube, Loom or Google Drive link to a short demo, if you have one. Make sure anyone with the link can watch it.

Deliverables: Grand Finale

A working dashboard ingesting at least three data streams for a clearly declared facility type, with data sources and assumptions documented
At least two AI/ML components — a forecast and an anomaly detector — with performance shown honestly, failures included
An insight-and-recommendation layer producing plain-language actions tied to specific, named interventions
A scenario simulation ("what if collection shifts to Tuesday", "what if HVAC runs an hour less") with projected impact
Role-based views plus a configuration path showing how the same build serves a hospital and an industrial estate

Evaluation criteria

15% Problem Understanding & Relevance
20% Innovation & Creativity
20% Solution Approach & Technical Depth
25% Prototype / Implementation & Feasibility
10% Impact, Usability & Sustainability
10% Presentation & Demonstration

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Prizes are offered and awarded by Cognizant Technology Solutions Corporation, not by Wooble. Amounts shown are as stated by the host and may include the host’s own valuation of non-cash items. Who places, how and when a prize is paid, and any tax or deduction, are between the winner and the host. A challenge may close, change or be withdrawn before results are declared.