Flower Recognition Model

[Manavr472]

🔖 Project description

Project Description: Create a flower recognition system using Convolutional Neural Networks (CNNs) to classify five common flower types: Rose, Chamomile, Dandelion, Sunflower, and Tulip.

Key Objectives: -Collect a diverse dataset of labeled flower images. -Preprocess the data for model training. -Design and train a CNN model for accurate classification. -Validate and test the model's performance. -Deploy a user-friendly web/mobile application for flower recognition. -Document the project and provide a user guide. -Ensure scalability and maintenance.

🎤 Pitch

Our project uses advanced Convolutional Neural Networks (CNNs) to classify five common flower types: Rose, Chamomile, Dandelion, Sunflower, and Tulip, instantly from photos. Whether you're a gardener, botanist, or just love flowers, our user-friendly app lets you snap a pic for accurate species identification, all while prioritizing ethics and scalability.

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[prodigyinfotech]

Hey @Manavr472, we have assigned you the issue. You can start working on it.

[Manavr472]

Thank you