:mushroom: Chat bot for recognizing edible mushrooms.
Last updated May 5, 2026
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Pet project for recognizing edible mushrooms
The meaning of the project: To learn how to work with the TensorFlow framework and Keras, this project was invented.
Project idea: Write a telegram bot that knows how to classify mushrooms. The convolutional neural network DenseNet201 was used for classification. The accuracy of 71.08% was obtained on the test sample
At the moment, the classifier recognizes 4 types of mushrooms:
To use it, you need to send a photo (not a file, but a photo) and get a predictable response.
Ways to improve the quality of the classifier:
Screenshots of the bot's work:
Project idea: Write a telegram bot that knows how to classify mushrooms. The convolutional neural network DenseNet201 was used for classification. The accuracy of 71.08% was obtained on the test sample
At the moment, the classifier recognizes 4 types of mushrooms:
- Edible mushrooms (can be eaten without health risk)
- Inedible (for one reason or another are not suitable for human consumption)
- Poisonous (when consumed in normal doses, a person gets severe poisoning)
- Hallucinogenic (contain hallucinogenic substances)
To use it, you need to send a photo (not a file, but a photo) and get a predictable response.
Ways to improve the quality of the classifier:
- Selection of better photos of mushrooms (incorrect photos are present in the dataset)
- Magnification of photos for each type of mushroom (at the moment, there are 16 photos for one type of mushroom in the test sample)
Screenshots of the bot's work:
