Hello Everyone! This is team BlackGriffin from NIT-Rourkela.
Members:
Mokshyada Mishra : Hardware
Arya Bhattacharyya: Full-Stack Developer
Kinjal Bhattacharyya : ML Developer
Description:
Problem Statement: Inaccessible technology prices impede efficient pond management, leading to productivity loss, increased disease vulnerability, and environmental risks, which we aim to address through affordable ML-driven solutions.
Solution: Developing an IoT-based pond management system, merging ML algorithms for disease detection and water analysis, serving commercial fisheries and pond hobbyists alike, offering a comprehensive solution.
Tech Stacks: NextJs, TailwindCss, FireBase, TensorFlow, Flask, ArduinoIDE, Esp32, ThingSpeak
GitHub Repository Link: https://github.com/Kinjal2004/AquaWise
Demo-Video Link : 
Presentation Link:https://docs.google.com/presentation/d/1tgzrhEygTiL_CmaDqHL82ao0u_wpn7KU/edit#slide=id.p1
Devfolio Submission Link:https://devfolio.co/projects/aquawise-fd5a
We had an awesome time building this project under tight deadlines, overcoming numerous challenges during the hackathon ⏰. Huge thanks to the organizers of HackNovate5.0 for this incredible opportunity and their guidance when needed! 🙌