image caption generation using deep learning based on cnn and rnn

1. Image Caption
Generation using Deep
Learning
An overview of our deep learning based image caption generator project.
We'll dive into the key aspects and motivations behind our research.

2. Abstract
1 What?
Development of a deep learning algorithm to generate captions for images.
2 Why?
To simplify and automate the process of image captioning, making it easier for the
visually impaired to engage with image-heavy content.
3 How?
Using a combination of convolutional neural networks and recurrent neural networks.

3. Problem Statement
The problem of image captioning is to automatically generate natural language descriptions of
images. This task is challenging because it requires the model to understand the content of the
image and generate a fluent and accurate description.

4. Utility of Work
Assistive Technology
By automating the captioning
process, our work can lead
to more accessible content
for the visually impaired.
Social Media
Integration
Automated image captioning
can lead to more efficient
post creation for social media
managers.
Search Engine
Optimization
Our algorithm can help e-
commerce websites with bulk
caption generation and can
improve customers' search
results.

5. Motivation behind Problem Selection
Research Gap
There has been a lot of work on this problem in recent years, and there are a number of
different approaches that have been proposed
Unprecedented Opportunities
An automated image captioning system can have many benefits, including Augmented
Reality, E-commerce, and assistive technology.
Social Responsibility
We have a social responsibility to make our research beneficial to all members of society,
including visually impaired people.