AQUASENSE

A mobile application that crowd sources water-related problems from around a community, open sources data, etc. and displays them on a map.

Idea/Approach Details

• Objective : Enhance collaboration between the public and government during water-related disasters
• Image Submission : Users can submit images of water-related issues categorized by Machine Learning.
• Data Aggregation : The app collects social media data to improve public awareness and assist authorities in planning and management
• Geo-Referencing : Problems are mapped geographically for better visualization.
• Solutions : Users can propose solutions, contact NGOs, donate and upvote that will be directly sent to respective authority
• Business Model : The app offers a clean drinking water supply feature for sustainability and resident can register as water suppliers

Tech Stack

• Android Studio- Kotlin and Xml
• TF Lite Model integeration
• Map Box SDK
• Retrofit
• Coroutines
• Figma(For UI Design)
• Firebase

Dependencies

Tensor Flow is an end-to-end open source platform for machine learning.

PyTorch is an optimized Deep Learning tensor library based on Python.

GPay API as a payment gateway.

UseCases

Feedback

If you have any feedback, please reach out to us at aryanrdat@gmail.com

Contributors

• @Svapak (Anjali Kumari)

• @RAry-n (Aryan Rawat)

• @CoderAbhi27 (Abhinav Kumar)

• @AritraBiswas9788 (Aritra Biswas)

• @AdityaKumar9430 (Aditya Kumar)

• Diya Mondal