AquaScan

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  AquaScan

India faces a silent water crisis. From urban drains carrying untreated grey/black water to rural areas relying on unsafe groundwater, water quality testing is either too slow, too expensive, or unavailable. Lab testing takes days, while contamination spreads in hours.

We were inspired to build AquaScan after realizing that water should be tested as easily as scanning a QR code—using AI, sensors, and smartphones to give instant, actionable results at the point of use.

AquaScan is an AI-powered water quality analysis app that instantly detects contamination and assesses water safety.

It can:

Analyze water using UAV portable sensors, mobile cameras, or connected IoT devices

Detect key parameters: pH, turbidity, TDS, hardness, temperature, color, and microbial risk (AI-predicted)

Classify water as Drinkable / Needs Treatment / Unsafe

Identify possible pollution sources (industrial, sewage, agricultural runoff)

Generate real-time reports

Frontend: Mobile app (gemini) for easy use by citizens and field workers

AI Layer:

Machine learning models trained on water quality datasets

Computer vision to analyze color/turbidity via camera

Predictive models for contamination risk

Hardware Integration: Low-cost sensors (pH, TDS, turbidity)

IoT modules for live data streaming

Optional drone-based water sampling

Backend:

Cloud database for geo-tagged water reports

Variability of water samples across regions and seasons

Ensuring accuracy without expensive lab equipment

Training AI models with limited high-quality public datasets

Making the app simple enough for non-technical users

Balancing cost, scalability, and reliability in real-world conditions

Designed a lab-free, instant water testing solution

Reduced water testing time from days to minutes

Built a system usable by citizens, panchayats, municipalities, and disaster teams

Created a platform that can integrate with government water missions

Made water quality data transparent, visual, and actionable

Technology adoption succeeds only when simplicity meets trust

AI can bridge major infrastructure gaps when paired with low-cost hardware

Water problems are hyper-local, so solutions must be decentralized

Collaboration with government and NGOs is essential for real impact

Preventive monitoring is far cheaper than post-crisis response

Integration with Jal Jeevan Mission & Smart City dashboards

AI-based early warning system for contamination outbreaks

Expansion to industrial effluent monitoring

Community-driven water health maps across India

Automated linkage with mobile water treatment trucks

Global deployment for water-stressed regions worldwide

Built With

• ai
• cloud
• flash
• gemini
• google