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AI & NLP Integration Developer

$15/hr Starting at $50

I integrate AI and NLP capabilities into your existing web or mobile applications — or build standalone AI-powered tools from scratch. Whether you need a smart search system, a document analyzer, a recommendation engine, or a text classification pipeline, I can build it with Python and connect it to your product.

What's included:

  • Text similarity and matching using TF-IDF and cosine similarity
  • Named entity recognition and text classification with spaCy
  • ML model integration into web apps via REST API
  • Resume/CV parsing and job matching systems
  • Recommendation systems based on user data
  • AI-powered dashboards with Streamlit or Gradio
  • Connecting Python ML models to React/Next.js frontends

I've built a Resume-to-Job Match Scorer using NLP that scores CV-to-job description similarity, and an AI Teacher Recommendation System using TF-IDF and real scraped data — both production-ready tools. I know how to take an ML model and make it useful inside a real product, not just a Jupyter notebook.

Ideal for startups and businesses that want to add intelligence to their product without hiring a full data science team.

Keywords: AI integration, NLP, Python, spaCy, TF-IDF, machine learning, text classification, recommendation system, Gradio, Streamlit, REST API, FastAPI

About

$15/hr Ongoing

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I integrate AI and NLP capabilities into your existing web or mobile applications — or build standalone AI-powered tools from scratch. Whether you need a smart search system, a document analyzer, a recommendation engine, or a text classification pipeline, I can build it with Python and connect it to your product.

What's included:

  • Text similarity and matching using TF-IDF and cosine similarity
  • Named entity recognition and text classification with spaCy
  • ML model integration into web apps via REST API
  • Resume/CV parsing and job matching systems
  • Recommendation systems based on user data
  • AI-powered dashboards with Streamlit or Gradio
  • Connecting Python ML models to React/Next.js frontends

I've built a Resume-to-Job Match Scorer using NLP that scores CV-to-job description similarity, and an AI Teacher Recommendation System using TF-IDF and real scraped data — both production-ready tools. I know how to take an ML model and make it useful inside a real product, not just a Jupyter notebook.

Ideal for startups and businesses that want to add intelligence to their product without hiring a full data science team.

Keywords: AI integration, NLP, Python, spaCy, TF-IDF, machine learning, text classification, recommendation system, Gradio, Streamlit, REST API, FastAPI

Skills & Expertise

AIData ScienceMachine LearningNLPPython

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