Streamlit App for Image Captioning

Description

Welcome to the Image Caption Generator* Streamlit app! This is a web-based application built using Python and Streamlit to https://imgcap.streamlit.app/ . This project leverages powerful machine learning and data visualization tools to provide an intuitive and interactive experience for the users.

ImageCaptioner.mp4

Technologies Used

The following technologies and libraries were used to build this project:

• Python
• Streamlit
• TensorFlow
• Pandas
• Numpy
• Matplotlib
• Keras
• Scikit-learn

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Features

• Interactive UI: Built with Streamlit for a responsive user interface.
• Data Visualization: Plotting graphs and charts using Matplotlib and Plotly.
• Machine Learning Model Integration: Implemented TensorFlow and Keras models for predictive analysis.
• Real-Time Data Processing: Handling dynamic datasets for fast updates and predictions.

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Installation

To run this project locally, follow these steps:

Step 1: Clone the Repository

git clone https://github.com/karan89200/ImageCaption.git

Step 2: Create a Virtual Environment (Optional but Recommended)

python3 -m venv venv

Step 3: Install Dependencies

pip install -r requirements.txt

Step 4: Run the Streamlit App

streamlit run main.py