You will get a machine learning model to detect AI generated content and images
Project details
You will get the highly accurate model that can detect AI generated content. It can be used with reports, articles, essays and other text based content. You can also get image based model to detect AI generated/deepfake images for additional cost.
Machine Learning Tools
BERT, ChatGPT, NLTK, Python, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 7 days |
Number of Revisions | 1 | 3 | Unlimited |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - | - |
About Dhruv
Expert Machine Learning Engineer | Chatbot | AI | Model Training |
Brampton, Canada - 2:03 pm local time
- A Highly motivated Machine Learning Engineer with 4+ years of experience working within a model development, training, fine-tuning and deployement.
- Provided consultation to a Big Four firm, contributing to the full-stack development of a pilot AI assistant using Large Language Models (LLMs) and MLOps techniques.
- Experienced with AWS technologies such as EC2, S3, Lambda, SageMaker, and AWS Glue for developing and deploying scalable machine learning solutions.
- Proficient in utilizing Azure services including Azure Machine Learning, Azure Blob Storage, Azure Functions, Azure Data Factory, and Azure Databricks for building robust ML pipelines and solutions.
- Skilled in Language Model Fine-Tuning (LLM) frameworks such as GPT, BERT, and enhancing natural language processing (NLP) capabilities for chatbots and text analytics.
- Extensive knowledge of MLOps practices using tools like Kubeflow, MLflow, and Azure MLOps, automating and streamlining the machine learning lifecycle from data ingestion to model deployment and monitoring
- Proficient in Dockerizing machine learning applications and models, ensuring consistency and reproducibility across different environments.
🧑💻 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
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✅ AI/ChatGPT integration
✅ Chatbot Creation
✅ Custom Model Fine-Tuning
✅ Domain-specific Model
✅ Model Deployement
🧑💻 Technical Skills
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🔸 Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Keras
🔸 Data Manipulation Tools: Pandas, NumPy, Matplotlib
🔸Database Management: SQL, NoSQL, PostgreSQL, MySQL
🔸Cloud Platforms: Amazon Web Services (AWS), Azure Cloud
🔸AWS: S3, EC2, Lambda, SageMaker, Glue
🔸Azure Cloud: Data Factory, Azure Data Lake, Azure Machine Learning, Azure BLOB storage, Azure Databricks
🔸Natural Language Processing: NLTK, spaCy
🔸Computer Vision: OpenCV, PIL, GPT-4 Vision
🔸Other Tools: Git, Docker, Kubernetes, CI/CD tools, MLflow, Airflow
🏅 𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝗲?
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🔹 Collaborative Approach
🔹 Great Communication skills
🔹 Commitment to Quality
🔹 Tailored Solutions: I meticulously analyze your requirements to provide customized industry-leading recommendations
🔹 Deep Industry Insight: Leveraging extensive subject matter expertise to offer innovative solutions tailored to your industry's nuances
📩 CONNECT with me or 💌 𝗜𝗻𝘃𝗶𝘁𝗲 𝗺𝗲, if you have any ideas or project to discuss, design, develop & deploy. I will be very happy to assist you with my end-to-end machine learning/AI development services.
#AIdevelopment #machinelearning #chatbot #conversationchatbot
Best Regards,
Dhruv
Steps for completing your project
After purchasing the project, send requirements so Dhruv can start the project.
Delivery time starts when Dhruv receives requirements from you.
Dhruv works on your project following the steps below.
Revisions may occur after the delivery date.
Deliver model as per the clients requirements.