[PROJECT PROPOSAL]

## Project Request

Develop an AI system that can generate accurate and meaningful captions for images. The system will take an image as input and use computer vision techniques to understand the content of the image. It will then generate a descriptive caption that accurately represents the objects, actions, and context depicted in the image.

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| Field | computer vision and NLP |
| ------ | --------------------------------- |
| About | AI system using computer vision and NLP techniques to produce caption for images provided as input |
| Github | sangu-firedev |
| Email | sangamesh6364@gmail.com |
| Label | Project Request |

https://github.com/sangu-firedev

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**Define You**

- [x] GSSOC Participant
- [ ] Contributor

# Project Name

AI image captioner

## Description

An AI system which takes images as inputs and produces suitable captions. The model is trained on the dataset of images with human written captions. The project uses CNN models like ResNet or VGG to extract useful feautures from images, the extracted features is used as input for RNN models like LSTM or GRU which outputs sequences of words forming a caption. The generated output is evaluated using evaluation metrics like METEOR, BLEU or CIDEr measuring the quality and accuracy of captions, which helps in fine tuning the model. The model is deployed on streamlit with UI, where users can interact with the model and produce captions for their images.

## Scope

**objectives**
- Develope a AI system which generates decriptive captions for images.
- Deploy the Model to upload images and receive captions instantly.

**delivarables**
- AI model to generate captions for images.
- source code for the project with documentation of implementation.
- application where users can interact with the model.

**contraints**
- The success of the projects depends upon the availability and quality of dataset.

## Timeline

start date - the day project is assigned
end date - 10th august.