Natural Language Processing AI Tool Creation
Budget: $750 – $1,500 USD
I am seeking an AI expert to develop an AI tool for me. The main functionality of this tool is Natural Language Processing.
The ideal candidate should have a solid background in artificial intelligence, particularly in the area of NLP. Experience with developing AI tools and predictive models is desirable.
The deadline for this project is within a month. I'm looking for someone who can deliver a high-quality and functional tool within this timeframe.
I need help creating an AI app that scans documents and creates a Monitoring, Evaluation, and Learning (MEL) framework, including a Theory of Change (ToC), requires a combination of document scanning, natural language processing (NLP), and machine learning capabilities. Here’s a high-level overview of the software tools you might use and an example of how to structure the code.
Software Tools and Technologies
Programming Language: Python is highly recommended due to its extensive libraries for machine learning and NLP.
Document Scanning: Libraries like PyMuPDF for PDF extraction or Tesseract for OCR.
Natural Language Processing: Libraries such as spaCy, NLTK, and Transformers (by Hugging Face).
Machine Learning Framework: TensorFlow or PyTorch for developing custom models.
Web Framework: Flask or Django for building the web interface.
Database: PostgreSQL or MongoDB for storing extracted data and analysis results.
Deployment: Docker for containerization, and cloud platforms like AWS, GCP, or Azure for hosting.
High-Level Steps
Document Scanning and Extraction:
Extract text from documents using OCR and PDF libraries.
Natural Language Processing:
Process the text to identify relevant sections and extract key information.
Theory of Change Generation:
Use NLP techniques to generate components of the Theory of Change from the extracted information.
Web Interface:
Create a user interface to upload documents and view the generated MEL framework.
The ideal candidate should have a solid background in artificial intelligence, particularly in the area of NLP. Experience with developing AI tools and predictive models is desirable.
The deadline for this project is within a month. I'm looking for someone who can deliver a high-quality and functional tool within this timeframe.
I need help creating an AI app that scans documents and creates a Monitoring, Evaluation, and Learning (MEL) framework, including a Theory of Change (ToC), requires a combination of document scanning, natural language processing (NLP), and machine learning capabilities. Here’s a high-level overview of the software tools you might use and an example of how to structure the code.
Software Tools and Technologies
Programming Language: Python is highly recommended due to its extensive libraries for machine learning and NLP.
Document Scanning: Libraries like PyMuPDF for PDF extraction or Tesseract for OCR.
Natural Language Processing: Libraries such as spaCy, NLTK, and Transformers (by Hugging Face).
Machine Learning Framework: TensorFlow or PyTorch for developing custom models.
Web Framework: Flask or Django for building the web interface.
Database: PostgreSQL or MongoDB for storing extracted data and analysis results.
Deployment: Docker for containerization, and cloud platforms like AWS, GCP, or Azure for hosting.
High-Level Steps
Document Scanning and Extraction:
Extract text from documents using OCR and PDF libraries.
Natural Language Processing:
Process the text to identify relevant sections and extract key information.
Theory of Change Generation:
Use NLP techniques to generate components of the Theory of Change from the extracted information.
Web Interface:
Create a user interface to upload documents and view the generated MEL framework.