AI Browser Extension for Grant Application Autofill and Tracking

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Solution Overview

Problem

Existing systems require manual copying and pasting of information across multiple grant applications, leading to inefficiency and time wastage, and lack effective tracking and status monitoring capabilities.

Innovation Solution

An application assistance system utilizing an AI-powered browser extension and server to automatically import application questions, generate answers, and track application status, leveraging Retrieval Augmented Generation (RAG) for accurate and contextually relevant responses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If manual copying and pasting is used to fill out grant applications, then information can be transferred between documents, but the process becomes tedious and labor-intensive, consuming excessive time

Engineering Contradiction:
Improvetime required to fill out applicationsVSAvoidease of filling out applications
Core Design Contradiction:
Loss of timeVSEase of operation

Solution Approach 1:

The system creates a centralized database that stores information once and automatically copies/reuses it across multiple application forms. Instead of manual copying between documents, the system generates application responses by retrieving stored information and populating forms automatically, eliminating repetitive manual copying while maintaining ease of operation

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The system enables self-service by automatically generating application responses using stored information and AI techniques. The person no longer needs to manually copy and paste answers; the system performs the filling out process autonomously by matching application questions with stored information and generating appropriate responses

Inventive Principle:
Principle #25Self-service

2Loss of time

If multiple applications are tracked manually, then application status information can be monitored, but the difficulties compound and time is spent tracking instead of on mission activities

Engineering Contradiction:
Improvetime spent tracking applicationsVSAvoidreliability of application tracking
Core Design Contradiction:
Loss of timeVSReliability

Solution Approach 1:

The system merges tracking of multiple applications into a single centralized database and interface. Instead of tracking each application separately (which compounds difficulties), all applications are consolidated in one place with unified status monitoring, reducing the time and effort required while improving reliability through centralized management

Inventive Principle:
Principle #5Merging (Combining)

3Ease of operation

If AI-generated answers are automatically populated into applications, then the burden on the user is reduced, but the user must review and control the generated answers before submission

Engineering Contradiction:
Improveburden on user to complete applicationsVSAvoidcomplexity of answer generation and review process
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system introduces an intermediary layer between the person and the application forms. Instead of the person directly filling out forms or completely automating the process, the system acts as an intermediary that generates draft answers using AI, presents them to the person for review, and facilitates easy editing and approval. This reduces the burden while managing complexity through an intuitive review interface

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250384499A1Application assistance and associated systems, methods, and non-transitory computer-readable media
Publication Date: 2025.12.18 SYNTACTIC SUGAR INC
  • US20250384499A1 patent drawing
  • US20250384499A1 patent drawing
  • US20250384499A1 patent drawing

AI summary

An application assistance system may include a browser extension and a server. The browser extension may identify an application to be filled out or completed at a website, obtain application questions from the application, and provide the application questions to the server. The server may generate another application that includes the application questions. The server may allow a user to provide documents that may be used to generate answers to the application questions, and request that an artificial intelligence model system generate the answers using the provided documents or a subset thereof. The user may view the generated answers and modify or replace them. The user may return to the website, where the browser extension may determine that there are generated answers to the application. The browser extension may, upon request from the user, automatically provide the answers to the application at the website.