Anahita

Anahita application

Inspiration

With limited options, added with rapid depleting water sources. Anahita create Integrated Rainfall Usage and Water Monitoring Solutions equipped with IoT Hardware solutions

What it does

Anahita uses rain, as the primary source for several needs. Using dynamic benchmarking, Anahita provides personalized insights on the water needed for each family

How we built it

Frontend: Using Flutter, translating initial UI/UX from Figma into code-based front-end
Backend: Using Arduino as the IoT systems to pull the data from hardware and deliver actions on the IoT systems
Database: Using CSV as dummy data to project dynamic benchmarking, that will further processing using Time-series Analysis in Python

Challenges we ran into

Incorporating Flutter as front-end systems takes sometime to translate visual UI into code-based systems
Ensuring the IoT hardware works through multiple-trials of set-up

Accomplishments that we're proud of

Readable sensor with action on switching pipes action as our IoT systems
Generate daily usage insights using Time-series Analysis to track general, seasonal and situational based trends
Having Flutter to represent in simple-manner on the app visualization

What we learned

Working on multiple set-up ranging from front-end, back-end with real IoT hardware to solve the core issue implemented, and utilizing machine-learning to generate prescriptive methods on water consumption and alternative sources of rainwater harvesting to optimize cost-saving and environment