You will get Optimize business with natural language analysis.


Project details
NLP projects often cover topics such as natural language understanding, sentence structure analysis, text classification, word suggestion. My project also focuses on these issues, but my aim is more specific.
My project is designed to solve real world problems in a particular industry or sector. Therefore, my most important feature that distinguishes it from other NLP projects is that my project is sectoral or industrial-oriented. For example, I can provide services in areas such as supporting patient diagnosis or treatment plans in the healthcare industry, following market trends in the financial industry, or providing product recommendations by analyzing customer reviews in the e-commerce industry.
My project is designed to solve real world problems in a particular industry or sector. Therefore, my most important feature that distinguishes it from other NLP projects is that my project is sectoral or industrial-oriented. For example, I can provide services in areas such as supporting patient diagnosis or treatment plans in the healthcare industry, following market trends in the financial industry, or providing product recommendations by analyzing customer reviews in the e-commerce industry.
Machine Learning Tools
ChatGPT, Deeplearning4j, fastText, Google Sheets, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, Tesseract OCR, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 15 days | 20 days | 30 days |
Number of Revisions | 2 | 3 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$250
Additional Scenario
(+ 5 Days)
+$500
Additional Graph/Chart
(+ 5 Days)
+$250Frequently asked questions
About Seyfi Okan
Computer Engineer | Data Scientist | Full Stack Developer
Bursa, Turkey - 5:05 pm local time
As a computer engineer and data scientist, I have always been fascinated by the world of technology and its potential to transform our lives. With a junior expertise in Python, machine learning, and AI, I have been able to leverage my skills to build cutting-edge solutions that solve complex problems and drive innovation in a variety of industries.
At the same time, I am also a Scuba diving Staff Instructor, with a passion for exploring the depths of the ocean and discovering the incredible biodiversity that exists beneath the waves. This combination of technical expertise and outdoor adventure has allowed me to bring a unique perspective to my work, and to constantly seek out new and creative ways to approach challenges.
Whether I am designing and coding web applications, analyzing complex datasets, or teaching students how to dive safely and responsibly, I am always driven by a deep sense of curiosity and a desire to push the boundaries of what is possible. I believe that technology and nature are not mutually exclusive, and that we can use our technical skills to better understand and protect the natural world.
As I continue to grow and evolve in my career, I am excited to explore new opportunities to bridge the gap between technology and the environment, and to use my skills to make a positive impact on the world around us. Whether I am developing new algorithms for data analysis, leading groups on underwater expeditions, or working with clients to build innovative new products and services, I am always looking for ways to learn, grow, and make a difference.
Steps for completing your project
After purchasing the project, send requirements so Seyfi Okan can start the project.
Delivery time starts when Seyfi Okan receives requirements from you.
Seyfi Okan works on your project following the steps below.
Revisions may occur after the delivery date.
Define project goals and requirements
Understand the client's needs and goals for the NLP project, and define project objectives and requirements accordingly.
Data collection and preparation
Collect relevant data sets and prepare the data for analysis by cleaning, preprocessing, and formatting it appropriately.

