EcoVision

"See waste. Know its impact."

EcoVision is a web application that uses AI and OpenCV to identify whether an image of waste is biodegradable or non-biodegradable. It also provides an estimated eco-impact score for the item.

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✨ Features

• Image Input: Users can upload or capture an image of a waste item (e.g., plastic bottle, paper, banana peel).
• AI Classification: A model, trained using OpenCV + CNN or a pretrained MobileNet, classifies the item into biodegradable or non-biodegradable.
• Results Display: The application shows the waste type, an eco-impact score (from 1-10), and a practical tip, such as "This item takes 400 years to decompose.".

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🛠️ System Design

The system is designed with the following components:

• Frontend: HTML, CSS, and JavaScript are used for the user-facing side, allowing image uploads and displaying results.
• Backend (Flask):
  • A /predict route manages the uploaded image.
  • The image is processed using OpenCV and then passed to the machine learning model.
  • The backend serves the final result: "Type + Eco Impact Score + Tip".
• Storage:
  • Uploaded images are stored in a local folder.
  • (Optional) A SQLite database can be used for logging or maintaing user history.

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🧠 Model & Dataset

• Dataset: The model can be trained using the "Waste Classification Data" available on Kaggle. This dataset contains two primary classes: Organic (biodegradable) and Recyclable (non-biodegradable).
• Preprocessing: Images are resized to 224x224, and pixel values are normalized.
• Model: A CNN (Convolutional Neural Network) or a pretrained MobileNetV2 is used for classification.
• Training: The model is trained using TensorFlow/Keras with an 80-20 train-test split to identify the 2 output classes (Biodegradable, Non-Biodegradable).

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🌊 Prototype Flow

1. Home Page: The user is greeted with an "Upload a Waste Image" prompt.
2. Backend Processing: The Flask backend sends the uploaded image to the model for prediction.
3. Output Page: The results page displays:
   • The classification result.
   • An eco-impact score (e.g., 2/10 for biodegradable).
   • A green tip, such as "Compost organic waste to enrich soil".

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🗓️ 3-Week Timeline

Week	Milestone
Week 1	Research + Collect Dataset + Preprocess images
Week 2	Train CNN or MobileNetV2 + Test model accuracy
Week 3	Build Flask web app + Integrate model + UI polish

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🚀 Optional Future Add-ons

• Add a leaderboard for users who recycle the most.
• Integrate the Google Maps API to show nearby recycling centers.
• Gamify the experience to let users earn "eco-points".