You will get AI-Powered Text Classification System for Industry Use Cases
Project details
I offer a cutting-edge AI-Powered Text Classification System tailored to your specific industry needs. With expertise in Natural Language Processing (NLP) and years of experience in building scalable, high-performance solutions, I ensure accurate text classification, seamless API integration, and deployment-ready code. My project stands out by providing robust performance, end-to-end customization, and a focus on delivering practical, business-ready solutions to streamline your workflows and drive results.
Machine Learning Tools
Apache Spark, BERT, ChatGPT, Databricks Platform, Databricks MLflow, fastText, Google Sheets, GPT-3, Microsoft Excel, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, Tesseract OCR, TextBlob, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 2 | 4 | 4 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$5
Model Documentation
(+ 1 Day)
+$10
Data Source Connectivity
(+ 1 Day)
+$15About Jitendra
Data Scientist, Machine Learning| NLP |Data analyst Expert with Python
Titlagarh, India - 8:06 am local time
What I Offer:
Data Processing: Proficient in cleaning, transforming, and analyzing data using pandas, numpy, and scipy.
Data Visualization: Skilled in creating insightful visualizations with matplotlib, seaborn, and interactive tools like bokeh and Plotly.
Machine Learning & Modeling: Expertise in building predictive models with scikit-learn and deploying complex workflows.
Natural Language Processing (NLP): Experienced in sentiment analysis, entity extraction, and topic modeling using nltk, gensim, LLM, GPT, Prompt engineering, LLM fintuning, GPT finetuning, LLAMA.
Deep Learning: Proficient in PyTorch and TensorFlow with frameworks like Keras and TFLearn, delivering custom neural networks.
Web Scraping: Efficient data extraction from websites using scrapy, BeautifulSoup, and requests.
Deployment: Building scalable and efficient model APIs with FastAPI, ensuring robust ML model deployment.
Technical Skills:
Programming: Python (NumPy, SciPy, pandas, scikit-learn, TensorFlow, PyTorch), Spark, Power BI, SQL
Big Data & Processing: Apache Spark for large-scale data processing
Cloud & Deployment: FastAPI, Docker, and Kubernetes for model deployment and scaling solutions
Other: Strong skills in business intelligence with Power BI for visual analytics
Experience & Projects: I have worked on projects spanning Computer Vision (face recognition, object detection), Natural Language Processing (text generation, sentiment analysis), and Predictive Modeling. My experience includes building neural networks, developing linear models, and implementing advanced models like gradient boosting for complex tasks.Also ASR (Whisper/ WhisperX)
Let’s connect! I’m available for a brief call to discuss your goals, define success metrics, and help create a clear roadmap to achieve them. I can also guide you in evaluating the technology requirements and infrastructure for your project.
Thank you!
Steps for completing your project
After purchasing the project, send requirements so Jitendra can start the project.
Delivery time starts when Jitendra receives requirements from you.
Jitendra works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review the client's dataset, categories, and use case to finalize the project scope.
Data Preprocessing
Clean, tokenize, and normalize the provided text data to ensure quality input for the model.