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InstinctOS-V1.0 is a next generation animal classification and threat detection engine, engineered for campers, hikers, and wilderness explorers. Powered by a Quantum Neural Learning Model (QNLM), InstinctOS classifies wildlife in real time and assesses threat levels with unprecedented speed and precision.

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BioBuddyAi-Inc/InstinctOS-V1.0.0

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BioBuddyAI

Notes for now:

1. Train the Model

Run this command from the root of your project:

python train.py

This will Train the model from scratch, save the weights to poison_model.pth You’ll see output like:

Epoch 1 Loss: ...
Epoch 2 Loss: ...

Once it's done, you should see poison_model.pth appear in the folder.

2. Now Run the Classifier Again Now your main.py will work correctly:

python main.py

Steps to use for judging:

  1. Say: “Eastern Massasauga”
  2. Pi scans a plant/snake using open cv
  3. Pi says: “This is Poisonous. Critical Threat. Stay away.” using quantum networks!
  4. Print/Show histogram
  5. Show logging dashboard or heatmap
  6. Ask it: “Tell me more” → it speaks fun facts from plant-snake-facts.json
  7. Show code using Qiskit + live quantum backend

To train the model

Simply run the following command in the terminal/console:

python train_model.py

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InstinctOS-V1.0 is a next generation animal classification and threat detection engine, engineered for campers, hikers, and wilderness explorers. Powered by a Quantum Neural Learning Model (QNLM), InstinctOS classifies wildlife in real time and assesses threat levels with unprecedented speed and precision.

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