I will build nlp projects and apps for sentiment analysis, ner and summarization
Full Stack AI Engineer
About this Gig
Need an NLP solution to analyze, understand, or automate your text data?
With 3 years of experience in AI, Machine Learning, and NLP, I will build a custom Natural Language Processing (NLP) application using Python and modern AI/NLP models tailored to your requirements.
What I can build:
- Sentiment Analysis & Emotion Detection
- Named Entity Recognition (NER)
- Text Summarization (Extractive/Abstractive)
- Text Classification & Categorization
- Keyword & Topic Extraction
- Text Preprocessing & NLP Pipelines
- NLP solutions for documents, reviews & business data
Technologies:
Python | spaCy | NLTK | Hugging Face Transformers | PyTorch | TensorFlow | Scikit-learn | OpenAI APIs
What you will receive:
- Functional NLP application/model
- Clean and well-structured Python source code
- Model implementation & evaluation
- Results and visualizations
- Complete project documentation (PPT/PPTX, LaTeX, Word DOC/DOCX & PDF)
- Setup and usage instructions
- Support with deployment
Whether you need customer review analysis, document analysis, text classification, information extraction, or summarization, I can develop a tailored NLP solution for your project.
Message me before ordering to discuss your requirements.
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FAQ
Do you use pre-trained models or build from scratch?
I can do both. For quick results, I use pre-trained models (e.g., BERT, GPT) and finetune them as needed. For specialized use cases, I can also build and train models from scratch.
Will you provide code and documentation?
Yes, all packages include clean, modular Python code with comments. Standard and Premium packages include a README and optional documentation/notebook on request.
Can you deploy the model or create a frontend?
Absolutely! In the Premium package, I offer deployment using Streamlit or Flask, with API or web interface options.
Do you offer custom datasets or use client-provided data only?
I prefer using your real-world dataset for best results, but I can work with opensource or synthetic datasets if you don’t have one.

