Ai_Image_Captioner
Turning images into captions/stories
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Project: AI-Powered Image Captioning Tool Description: An AI-powered image captioning tool using Python, which will generate human-like captions for images uploaded by users.
Features:
1 Image uploading: Allow users to upload images (JPEG, PNG, etc.) to the application. Implement proper file validation
and size limits to ensure security.
2 Image preprocessing: Preprocess the uploaded images to make them suitable for analysis by the AI model.
You can use libraries like OpenCV, Pillow, or scikit-image for this purpose.
3 AI model: Train a deep learning model using a pre-trained neural network (e.g., VGG16, ResNet, Inception, etc.)
and a recurrent neural network (RNN) or transformer model for generating captions. You can use TensorFlow or PyTorch
for implementing the AI model.
4 Caption generation: Integrate the trained AI model with your web application to generate captions for the uploaded images.
5 User interface: Develop a user-friendly and responsive web interface for the application.
You can use HTML, CSS, and JavaScript along with a front-end framework like Bootstrap or Material-UI.
6 REST API: Create a REST API to enable other developers to use your image captioning service in their applications.
• Consider using pre-trained models and fine-tuning them on a dataset like MS COCO for better results.
• Use libraries like TensorFlow or PyTorch for training and deploying the AI model.
• Study and follow best practices for web application security, such as OWASP guidelines.