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This is project involves python program for detecting the boxes of water testing kit strip and determining the properties of the tested water which using fast API can be communicated through to website and apps.

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Amogh1071/watertestingkitAPI

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Machine Learning and Software Development Internship at Chromosis Technology Pvt. Ltd.

Overview

  • This repository contains the work done during my internship as a Machine Learning and Software Development Intern at Chromosis Technology Pvt. Ltd. from December 2024 to January 2025. The project focused on developing a machine learning model to detect and analyze water testing kit strips.

Objective

  • Developed a machine learning model to detect the boxes of water testing kit strips and analyze the detected color.
  • Accessed the model remotely through a web server API.

Strategy

  • Developed and fine-tuned the YOLOv11 model with a custom dataset to detect and categorize the boxes.
  • Standardized color detection to minimize lighting effects.
  • Developed an API using FastAPI to remotely process images on a server and enable future website and app integration.

Result

  • Achieved 98.80% accuracy.
  • Successfully deployed to a production server with real-world validation.

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This is project involves python program for detecting the boxes of water testing kit strip and determining the properties of the tested water which using fast API can be communicated through to website and apps.

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