DIGITAL CREDENTIAL SYSTEM FOR EVALUATING SKILLS-BASED PROFILES
Techniques relate to managing digital credentials. Identifying data associated with a user is detected using a sensor. The identifying data associated with the user is analyzed to determine an identity of the user and a first credential receiver is determined using the identity of the user. A request for a first set of digital credentials is transmitted to a server computer hosting a digital credential repository. The request identifies the first credential receiver. A plurality of profiles are retrieved from a database storing a skill profile library. Each profile in the plurality of profiles is associated with a set of skills. For each profile in the plurality of profiles, a correlation metric between the first set of digital credentials and the set of skills associated with the profile is determined and data identifying the correlation metric for each profile is transmitted to a user device.
1 . A system, comprising:
a processing unit comprising one or more processors;
one or more network interfaces; and
memory coupled with and readable by the processing unit and storing therein a set of instructions that, when executed by the processing unit, causes the processing unit to:
detect, using a sensor, identifying data associated with a user;
analyze the identifying data associated with the user to determine an identity of the user using at least one of a facial recognition analysis or a biometric analysis;
determine a first credential receiver using the identity of the user;
transmit, to a server computer hosting a digital credential repository, a request for a first set of digital credentials, the request identifying the first credential receiver;
retrieve, from a database storing a skill profile library, a plurality of profiles, wherein each profile in the plurality of profiles is associated with a set of skills;
for each profile in the plurality of profiles, determine a correlation metric between the first set of digital credentials and the set of skills associated with the profile; and
transmit data identifying the correlation metric for each profile to a user device.
2 . The system of claim 1 , wherein determining the correlation metric between each profile and the first set of digital credentials includes determining a first set of user skills using the first set of digital credentials, wherein each digital credential in the first set of digital credentials is associated with at least one skill in the first set of user skills.
3 . The system of claim 2 , wherein the processing unit is further configured to:
generate a user interface including a first skill profile depicting each skill in the first set of user skills and a skill level for each skill in the first set of user skills and a second skill profile depicting each skill associated with a first profile in the plurality of profiles and a skill level for each skill associated with the first profile.
4 . The system of claim 2 , wherein the processing unit is further configured to:
identify a first set of profiles in the plurality of profiles associated with a set of skills that matches the first set of user skills; and
transmit an identification of the first set of profiles to the user device for display.
5 . The system of claim 1 , wherein determining the correlation metric between each profile and the first set of digital credentials includes:
determining first location data based on the first set of digital credentials; and
determining matching location data associated with each profile in the plurality of profiles.
6 . The system of claim 1 , wherein determining the correlation metric between each profile and the first set of digital credentials includes:
determining an education level of the user; and
determining an educational qualification requirement associated with each profile in the plurality of profiles.
7 . The system of claim 1 , wherein each profile in the plurality of profiles is associated with a professional occupation or technical field.
8 . A method, comprising:
detecting identifying data associated with a user using a sensor;
analyzing the identifying data associated with the user to determine an identity of the user;
determining a first credential receiver using the identity of the user;
transmitting, to a server computer hosting a digital credential repository, a request for a first set of digital credentials, the request identifying the first credential receiver;
retrieving, from a database storing a skill profile library, a plurality of profiles, wherein each profile in the plurality of profiles is associated with a set of skills;
for each profile in the plurality of profiles, determining a correlation metric between the first set of digital credentials and the set of skills associated with the profile; and
transmitting data identifying the correlation metric for each profile to a user device.
9 . The method of claim 8 , wherein determining the correlation metric between each profile and the first set of digital credentials includes determining a first set of user skills using the first set of digital credentials, wherein each digital credential in the first set of digital credentials is associated with at least one skill in the first set of user skills.
10 . The method of claim 9 , further comprising:
generating a user interface including a first skill profile depicting each skill in the first set of user skills and a skill level for each skill in the first set of user skills and a second skill profile depicting each skill associated with a first profile in the plurality of profiles and a skill level for each skill associated with the first profile.
11 . The method of claim 9 , further comprising:
identifying a first set of profiles in the plurality of profiles associated with a set of skills that matches the first set of user skills; and
transmitting an identification of the first set of profiles to the user device for display.
12 . The method of claim 8 , wherein determining the correlation metric between each profile and the first set of digital credentials includes:
determining first location data based on the first set of digital credentials; and
determining matching location data associated with each profile in the plurality of profiles.
13 . The method of claim 8 , wherein determining the correlation metric between each profile and the first set of digital credentials includes:
determining an education level of the user; and
determining an educational qualification requirement associated with each profile in the plurality of profiles.
14 . The method of claim 8 , wherein each profile in the plurality of profiles is associated with a professional occupation or technical field.
15 . A non-transitory computer-readable medium, having instructions stored therein, which when executed by a computing device cause the computing device to perform a set of operations comprising:
detecting identifying data associated with a user using a sensor;
analyzing the identifying data associated with the user to determine an identity of the user using at least one of a facial recognition analysis or a biometric analysis;
determining a first credential receiver using the identity of the user;
transmitting, to a server computer hosting a digital credential repository, a request for a first set of digital credentials, the request identifying the first credential receiver;
retrieving, from a database storing a skill profile library, a plurality of profiles, wherein each profile in the plurality of profiles is associated with a set of skills;
for each profile in the plurality of profiles, determining a correlation metric between the first set of digital credentials and the set of skills associated with the profile; and
transmitting data identifying the correlation metric for each profile to a user device.
16 . The non-transitory computer-readable medium of claim 15 , wherein the instructions cause the computing device to perform determining the correlation metric between each profile and the first set of digital credentials by determining a first set of user skills using the first set of digital credentials, wherein each digital credential in the first set of digital credentials is associated with at least one skill in the first set of user skills.
17 . The non-transitory computer-readable medium of claim 16 , wherein the instructions cause the computing device to perform:
generating a user interface including a first skill profile depicting each skill in the first set of user skills and a skill level for each skill in the first set of user skills and a second skill profile depicting each skill associated with a first profile in the plurality of profiles and a skill level for each skill associated with the first profile.
18 . The non-transitory computer-readable medium of claim 16 , wherein the instructions cause the computing device to perform:
identifying a first set of profiles in the plurality of profiles associated with a set of skills that matches the first set of user skills; and
transmitting an identification of the first set of profiles to the user device for display.
19 . The non-transitory computer-readable medium of claim 15 , wherein the instructions cause the computing device to perform determining the correlation metric between each profile and the first set of digital credentials by:
determining first location data based on the first set of digital credentials; and
determining matching location data associated with each profile in the plurality of profiles.
20 . The non-transitory computer-readable medium of claim 15 , wherein the instructions cause the computing device to perform determining the correlation metric between each profile and the first set of digital credentials by:
determining an education level of the user; and
determining an educational qualification requirement associated with each profile in the plurality of profiles.