You will get Transformer-based Air Quality Forecasting System
Project details
I will build an AI-powered air quality forecasting solution based on Transformer architectures for time-series prediction. The workflow includes multi-source data integration, data cleaning, feature engineering, model training, validation, and performance analysis. The system can leverage historical air quality measurements and meteorological factors to forecast future pollution levels such as PM2.5. With experience in machine learning, deep learning, and industrial AI applications, I deliver reliable forecasting models that can be further deployed into real-world monitoring platforms.
Machine Learning Tools
Microsoft Excel, pandas, Python, PyTorch, SQLWhat's included
| Service Tiers |
Starter
$400
|
Standard
$800
|
Advanced
$1,600
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 7 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code | - |
About She
Data science
Hangzhou, China - 11:42 am local time
I help companies transform their ideas into practical AI solutions, including enterprise knowledge bases, AI assistants, document intelligence systems, and workflow automation.
With a background in Applied Mathematics and Computer Science, I have hands-on experience developing AI algorithms and large language model applications. I specialize in:
• LLM application development with GPT, Claude, DeepSeek, and open-source models
• Retrieval-Augmented Generation (RAG): document parsing, chunking, embedding, vector search, and reranking
• AI Agent design with planning, tool calling, and workflow automation
• Backend development and deployment using Python, FastAPI, Docker, and cloud services
• Machine learning and data mining solutions for business scenarios
I can help you build reliable AI systems from prototype to production, including architecture design, model integration, development, and deployment.
I value clear communication and practical results. My goal is not only to build AI demos, but to create solutions that bring real value to your business.
Let’s discuss how AI can improve your workflow.
Steps for completing your project
After purchasing the project, send requirements so She can start the project.
Delivery time starts when She receives requirements from you.
She works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection & Preparation
Collect and preprocess air quality and meteorological data, including data cleaning, missing value handling, normalization, and feature engineering.
Transformer Model Development
Design and train a Transformer-based time-series forecasting model. Optimize model architecture and parameters for accurate air quality prediction.