A deep learning-based image captioning system that generates descriptive captions for images.
Table of Contents
- [Description](#description) - [Links](#links) - [Tech Stack](#tech-stack) - [Progress](#progress) - [Future Scope](#future-scope) - [Applications](#applications) - [Usage](#usage) - [Team Members](#team-members) - [Mentors](#mentors) - [Screenshots](#screenshots)The Image Caption Generator uses deep learning models to generate captions for images. The system takes an input image, processes it using a pretrained model, and outputs a textual description of the content within the image. It helps make visual content more accessible, aiding applications in various domains like assistive technology, e-commerce, and social media automation.
- Python
- TensorFlow
- Keras
- Scikit-learn
- NumPy
- Pandas
- Matplotlib
- Seaborn
- OpenCV
- Pillow (PIL)
- InceptionV3 (Part of TensorFlow Keras applications)
- Google Colab
- Kaggle
- Dataset Handling – Complete
- Data Preprocessing – Complete
- Image Processing – Complete
- Feature Extraction – Complete
- Dataset Creation – Complete
- Visualization & Analysis – Complete
- Model Architecture – Partial
- Training Process – Partial
- Evaluation & Inference – Missing
- Audio Captioning – Partial
- Complete Model Training – Training
- Optimize Model Performance – Optimization
- Real-Time Image Captioning – Deployment
- Multilingual Captioning – Multilingual
- Speech Output Integration – TTS
- Mobile Deployment – Mobile
- Better Dataset Utilization – Dataset
- Assistive Technology – Accessibility
- Image Search & Tagging – Search
- Social Media Automation – Automation
- E-learning & Education – Education
- Surveillance & Security – Security
- Content Generation – Content
- E-commerce & Retail – E-commerce