You will get Image Captioning System with Interface
Project details
What I Offer
Custom Image Captioning Model:
Implementation of an encoder-decoder architecture using the latest AI techniques.
Pre-trained InceptionV3 as the encoder to extract rich visual features.
Transformer as the decoder for generating coherent, context-aware captions.
Accurate and Contextual Captioning:
Generate captions that are both descriptive and contextually appropriate.
Designed for a wide range of applications, from e-commerce to accessibility solutions.
Optimized Workflow:
Seamless integration of Keras and TensorFlow for efficient model training and deployment.
Scalable and adaptable for various datasets and requirements.
Deliverables:
Fully trained and tested model with customizations as per your requirements.
User guide and implementation instructions for smooth deployment.
Optional: Integration with APIs or your existing systems for real-time captioning.
Tech Stack
Frameworks: TensorFlow, Keras
Models Used: InceptionV3 (Encoder), Transformer (Decoder)
Tools: Python, Jupyter Notebook
Libraries: NumPy, Pandas, Matplotlib, Hugging Face Transformers
Custom Image Captioning Model:
Implementation of an encoder-decoder architecture using the latest AI techniques.
Pre-trained InceptionV3 as the encoder to extract rich visual features.
Transformer as the decoder for generating coherent, context-aware captions.
Accurate and Contextual Captioning:
Generate captions that are both descriptive and contextually appropriate.
Designed for a wide range of applications, from e-commerce to accessibility solutions.
Optimized Workflow:
Seamless integration of Keras and TensorFlow for efficient model training and deployment.
Scalable and adaptable for various datasets and requirements.
Deliverables:
Fully trained and tested model with customizations as per your requirements.
User guide and implementation instructions for smooth deployment.
Optional: Integration with APIs or your existing systems for real-time captioning.
Tech Stack
Frameworks: TensorFlow, Keras
Models Used: InceptionV3 (Encoder), Transformer (Decoder)
Tools: Python, Jupyter Notebook
Libraries: NumPy, Pandas, Matplotlib, Hugging Face Transformers
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlowWhat's included $20
These options are included with the project scope.
$20
- Delivery Time 2 days
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Source Code
(+ 1 Day)
+$10
Explaination
(+ 1 Day)
+$10About Rahul
AI/LLM Full-Stack Software Engineer | Python, React, APIs, Databases
Dehra Dun, India - 1:05 am local time
I can help you build:
• AI chatbots and assistants using OpenAI, Gemini, LangChain, RAG, and vector databases
• “Chat with PDF / documents / website data” tools
• AI agents and workflow automation for repetitive business tasks
• Full-stack web apps using React, Next.js, Node.js, Python, FastAPI, Flask, and Django
• Backend APIs, admin dashboards, database-driven apps, and SaaS MVPs
• Database setup, SQL queries, PostgreSQL, MySQL, MongoDB, Firebase, and Supabase
• Data analysis, Tableau dashboards, reporting, and CSV/Excel automation
• Web scraping, data cleaning, lead collection, and API integrations
• ML/NLP/computer vision models with a simple interface for real users
Steps for completing your project
After purchasing the project, send requirements so Rahul can start the project.
Delivery time starts when Rahul receives requirements from you.
Rahul works on your project following the steps below.
Revisions may occur after the delivery date.
Working
Working in project and deploy it.
Deliver