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Neural Ocean is an innovative solution to combat underwater pollution and assess water quality. Our project offers three key components: real-time trash detection using YOLO, a rule-based classifier for aquatic habitat assessment, and a machine learning model for water potability classification.

Primary LanguageJupyter Notebook

Ghost Code: Underwater Trash Detection and Water Quality Assessment

Ghost Code presents an innovative solution to combat underwater pollution and assess water quality. Our project offers three key components: real-time trash detection using YOLO, a rule-based classifier for aquatic habitat assessment, and a machine learning model for water potability classification.

The Spectral Team

  • Jainil Prajapati (Leader of the Apparitions)
  • Smit Prajapati (Phantom Developer)
  • Shrey Pathak (Specter of Data)
  • Priya Parmar (Wraith of Algorithms)

Summoning the Code

To conjure this project on your local machine, follow these mystical steps:

  1. Clone the ethereal repository to your mortal realm.

  2. Invoke the installation of requirements:

    pip install -r requirements.txt

  3. Awaken the virtual environment:

    new_env\Scripts\activate

  4. Materialize the application:

    streamlit run main_app.py

Supernatural Features

  • Detect underwater specters (trash) in real-time using input images.
  • Divine water quality as potable or non-potable based on arcane chemical properties.
  • Determine if water is a suitable habitat for aquatic spirits.

Arcane Tech Stack

  • Python (The Serpent's Tongue)
  • YOLOv8 (Eye of the Beholder)
  • XGBoost Classifier (The Ethereal Predictor)
  • Streamlit (Portal to the Mortal Realm)

Forbidden Knowledge (Datasets)

Acknowledgements to the Ancient Ones

  • YoloV8 Training Grimoire by Roboflow
  • Single Image Haze Banishment Using Dark Channel Prior