At a Glance

Name: Create an AI agent to fill forms from your private documents
Price: Free CAD
Rating: 4.5 (141 reviews)

This project automates form-filling using LLM. It processes documents using RAG (Retrieval Augmented Generation), extracts necessary information with prompt engineering and then fills out HTML forms. We utilize LLAMA2 hosted by IBM watsonx.ai for text analysis and Flask as a backend web app. This system significantly improves efficiency in handling form fields, reducing the need for manual input and expediting the entire form-filling procedure.

I hate forms, and they're everywhere—applying for a loan, a job, a visa, or funding. They waste so much time, even though the information is just sitting there (in the local storage). Our time is wasted just reading information and putting it into a form. In fact, the vast majority of government jobs involve form-filling. Workers read some information and fill out another form, and this process takes months and even years. What if we implemented AI that could read all the required information and automatically fill the forms and their fields, instantly and accurately?
well, this project does that.

In this project, we use a simple tax form to showcase an AI form filler. We've provided a PDF with information about an imaginary person. The project reads the form fields and the AI fills them in, accordingly.

Snapshot of the AI automated form filler

A Look at the Project Ahead

The diagram below shows how our AI auto-form filler app works.

The attributes of the app are including:

Automate Form Filling: To streamline the process of filling out forms by automatically inserting relevant information into the appropriate fields.
Process and Understand Documents: To efficiently process and analyze a collection of documents, extracting and understanding the content to find information relevant to the forms being filled.
Integrate AI model: To utilize IBM Watson's hosted llm to interpret form requirements and generate accurate, contextually relevant responses for each field.
Create an Accessible Interface: Flask is used in this project to provide a practical and accessible way for users to interact with the form-filling service, leveraging its capabilities to handle web requests, integrate with other Python tools, and offer a scalable and deployable solution.

What You'll Need to Know

Python basics and AI foundations.

Offered By: IBMSkillsNetwork

Create an AI agent to fill forms from your private documents

At a Glance

A Look at the Project Ahead

What You'll Need to Know