Smart-India-Hackathon-2020

Team Name : Zero++

Team Members - Hrishikesh Mahajan, Dheeraj Komandur, Shebin Silvister, Shweta Panhalkar Yash Shekhadar

Mentors - Dr. Nitin Pise and Mr. Aniket Ingavle

Problem Statement by - Ministry of Jal Shakti - Central Ground Water Board of India

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Rating : ⭐⭐⭐⭐⭐ 4.6 Downloads - 5,000+

Download the App - Ground Water Analysis India

View Online : Ground Water Data analytics Dashboard India

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What is Smart India Hackathon (SIH)?

Smart India Hackathon (SIH) 2020 is a nationwide initiative to provide students a platform to solve some of the pressing problems we face in our daily lives, and thus inculcate a culture of product innovation and a mindset of problem solving. More than 5 LAKH+ students across 65+ Locations in India.

Problem Statement

Problem Statement : Data analytics to provide complete solution for groundwater management for the country Problem Statement ID - DM 84

Our Solution

Our solution - IndiaGWanalytics.in is a application that provides visualization of Groundwater scenario in India with GIS mapping, graphs and various analysis tools along with state of the art ML models to predict groundwater trends.

Our solution helps the Ministry of Central Ground Water Board to evaluate and study the trends of groundwater levels accross 28 States, 500+ Districts , 6000+ Blocks of the past 25 years . These trends are divided into 4 seasons (Pre Monsoon, Post Rabi farming season, Post Kharif farming season). We also use diffrent time series algorithms like ARIMA, SARIMAX, VARMAX, HWES etc to predict trends and classify an area as Critical, Semi-Critical or safe. This helps the ministry to plan the resources wisely and effectively accross India.

Video of our solution

Our solution can be divided into below mentioned components:

• Visualization

  • Geo Location based Heat maps
  • State and District wise maps
  • Week, Month, Year wise maps
  • Season (Pre Monsoon, Pre Farming etc.) wise maps

• Query and Analysis

  • Identify Improving or Declining locations
  • Compare Trends (Pre vs Post Monsoon etc.)
  • Clustering of Critical, Semi-Critical, Safe areas
  • Time Series Analysis using ARIMA, EWMA etc.

• Reports Generation

  • Export heat maps and graphs
  • Statistical reports
  • Bar graphs, Pie chart, Trend analysis etc

Architecture Diagram

App Screenshots

                                                     

Conclusion

Our team won the Smart India Hackathon 2020 for this problem statement by successfully building an web and android application that provides visualization of Groundwater scenario in India with GIS mapping, graphs and various analysis tools along with state of the art ML models to predict groundwater trends.

Position - 1st

Prize Money - ₹ 1,00,000

Video by MIT World Peace University - MIT World Peace University - Zero++