System and method for facilitating direct settlement negotiations between injury claimants and insurance companies

1 . A computer-implemented method for facilitating direct settlement negotiations between a claimant and an insurance company, comprising:

executing, on a claimant computing device comprising at least one processor, memory, and a display, a mobile application configured to receive input from the claimant;

receiving, via the mobile application, claimant information and accident data;

verifying, via the mobile application, that the claimant is not represented by legal counsel;

transmitting the claimant information and accident data from the claimant computing device to an insurance company server via a secure network connection;

generating, via an artificial intelligence module executed by the insurance company server, a settlement valuation based on the received claimant information and accident data;

triggering, based on the settlement valuation, one or more settlement workflows including issuing a settlement offer or initiating a prior injury investigation;

receiving, via a thermography sensor operatively coupled to the claimant computing device, thermographic image data indicative of temperature variations in a region of a body of a clamant;

processing, via an onboard image analysis module, the thermographic image data to identify hot and cold zones indicative of inflammation or injury severity;

integrating, via the artificial intelligence module, the processed thermographic injury data into a settlement valuation calculation;

generating, via the claimant computing device, a chatbot interface comprising a natural language input section and a chatbot response section, the chatbot interface configured to simulate human conversation with the claimant;

generating, via the chatbot interface, a structured result table based on claimant data, accident attributes, injury severity, and settlement workflow status;

displaying, via the chatbot response section on the claimant computing device display, the result table in response to a natural language query entered in the chatbot input section; and

executing, via the mobile application, a digital signature interface that enables the claimant to accept a settlement offer and execute a liability release agreement electronically;

wherein processing the thermographic image data comprises:

converting, via the image analysis module, pixel intensity values of the thermographic image to corresponding temperature values using calibration data;

segmenting the thermographic image into predefined anatomical regions using computer vision algorithms;

computing a temperature gradient matrix across the segmented anatomical regions; and

classifying at least one anatomical region as inflamed based on a comparison of the computed temperature values or gradients to a threshold or a machine learning model trained on historical injury data.

2 . The method of claim 1 , wherein the thermography sensor is configured to capture both still images and real-time video of temperature distributions over the body of the claimant.

3 . The method of claim 1 , wherein the image analysis module classifies inflammation zones using a predefined color temperature scale and maps them to anatomical regions.

4 . The method of claim 1 , wherein the chatbot interface provides contextual follow-up prompts based on the claimant's prior queries and displayed result table content.

5 . The method of claim 1 , wherein the result table includes selectable entries that reveal expanded content including uploaded medical documentation and accident photos.

6 . The method of claim 1 , wherein the secure network connection employs end-to-end encryption compliant with health insurance portability and accountability act (HIPAA) or equivalent data privacy standards.

7 . The method of claim 1 , further comprising storing the result table and thermographic data in a secure, access-controlled database associated with a claimant record.

8 . The method of claim 1 , wherein the artificial intelligence module uses machine learning trained on prior injury cases to adjust the settlement valuation based on thermographic injury data patterns.

9 . A system for facilitating direct settlement negotiations between a claimant and an insurance company, the system comprising:

a claimant computing device comprising at least one processor, a memory, a display, and a thermography sensor;

a mobile application stored in the memory and executable by the processor of the claimant computing device, the mobile application configured to:

receive claimant information and accident data;

verify, based on received input, that the claimant is not represented by legal counsel;

transmit the claimant information and accident data to an insurance company server over a secure network connection;

provide a chatbot interface, the chatbot interface comprising a natural language input section and a chatbot response section;

generate a structured result table comprising at least claimant data, accident attributes, injury severity, and settlement workflow status;

display the structured result table via the chatbot response section in response to a natural language query entered via the natural language input section;

receive thermographic image data captured by the thermography sensor; and

provide a digital signature interface configured to allow the claimant to electronically execute a liability release agreement upon acceptance of a settlement offer;

an image analysis module stored in the memory and executable by the processor of the claimant computing device, the image analysis module configured to:

convert pixel intensity values of the thermographic image data into corresponding temperature values using calibration data;

segment the thermographic image data into predefined anatomical regions using computer vision algorithms;

compute a temperature gradient matrix across the segmented anatomical regions; and

classify at least one anatomical region as inflamed based on a comparison of the temperature values or gradients to at least one of a threshold value or a machine learning model trained on historical injury data; and

an artificial intelligence module hosted on the insurance company server, the artificial intelligence module configured to: generate a settlement valuation based on the claimant information, the accident data, and the classified thermographic injury data; and trigger, based on the settlement valuation, one or more settlement workflows including issuance of a settlement offer or initiation of a prior injury investigation.