Abstract: A computer-implemented method for providing a vehicle recommendation to a user may include: obtaining one or more vehicle images via a device associated with the user; identifying one or more user-selected images of the one or more vehicle images based on user interaction with the one or more vehicle images performed by the user via a user interface; identifying one or more first-level attributes from the one or more user-selected images; obtaining one or more vehicle identifications from the one or more user-selected images; determining one or more second-level attributes based on the one or more vehicle identifications; determining a value of each of the one or more first-level attributes and the one or more second-level attributes; determining the vehicle recommendation based on the value; and transmitting, to the device associated with the user, a notification indicating the vehicle recommendation.

Abstract: Computer-implemented methods and systems include determining vehicle grades for a user by accessing a plurality of user platforms, identifying user-related content linked to the user via the user platforms, extracting user attributes based on the user-related content, applying weights to vehicle attributes in a vehicle recommendation engine, based on the extracted user attributes, generating the vehicle grades based on the weights, and providing the vehicle grades to the user via a vehicle grading platform.

Abstract: Provided herein is a fuse assembly including an anti-rotation device. In some embodiments, the fuse assembly may include a fusible device connected to a conductive component, wherein the conductive component is operable to connect to a terminal of a power source and a securement device coupled to the fusible device. The securement device may include a body including a recess operable to receive the fusible device and a support post extending from the body, wherein the support post is operable to engage the power source to reduce rotation of the securement device and the fusible device relative to the power source.

Abstract: Computer-implemented methods and systems include determining vehicle grades for a user by accessing a plurality of user platforms, identifying user-related content linked to the user via the user platforms, extracting user attributes based on the user-related content, applying weights to vehicle attributes in a vehicle recommendation engine, based on the extracted user attributes, generating the vehicle grades based on the weights, and providing the vehicle grades to the user via a vehicle grading platform.

Abstract: Methods and systems are disclosed for providing a vehicle suggestion to a user based on image analysis. The method may include: receiving one or more vehicle images via website data associated with the user; identifying one or more first-level traits from the one or more vehicle images; obtaining one or more vehicle identifications from the one or more vehicle images based on the one or more first-level traits; determining a value of each of the one or more first-level traits and/or the one or more vehicle identifications via one or more algorithms; determining the vehicle suggestion based on the value of each of the one or more first-level traits and/or the one or more vehicle identifications; and transmitting, to a device associated with the user, a notification indicating the vehicle suggestion.

Abstract: A computer-implemented method for providing a vehicle recommendation to a user may include: obtaining one or more vehicle images via a device associated with the user; identifying one or more user-selected images of the one or more vehicle images based on user interaction with the one or more vehicle images performed by the user via a user interface; identifying one or more first-level attributes from the one or more user-selected images; obtaining one or more vehicle identifications from the one or more user-selected images; determining one or more second-level attributes based on the one or more vehicle identifications; determining a value of each of the one or more first-level attributes and the one or more second-level attributes; determining the vehicle recommendation based on the value; and transmitting, to the device associated with the user, a notification indicating the vehicle recommendation.

Abstract: Provided herein is a fuse assembly including an anti-rotation device. In some embodiments, the fuse assembly may include a fusible device connected to a conductive component, wherein the conductive component is operable to connect to a terminal of a power source and a securement device coupled to the fusible device. The securement device may include a body including a recess operable to receive the fusible device and a support post extending from the body, wherein the support post is operable to engage the power source to reduce rotation of the securement device and the fusible device relative to the power source.

Abstract: A computer-implemented method for providing a vehicle recommendation to a user may include: obtaining one or more vehicle images via a device associated with the user; identifying one or more user-selected images of the one or more vehicle images based on user interaction with the one or more vehicle images performed by the user via a user interface; identifying one or more first-level attributes from the one or more user-selected images; obtaining one or more vehicle identifications from the one or more user-selected images; determining one or more second-level attributes based on the one or more vehicle identifications; determining a value of each of the one or more first-level attributes and the one or more second-level attributes; determining the vehicle recommendation based on the value; and transmitting, to the device associated with the user, a notification indicating the vehicle recommendation.

Abstract: Methods and systems are disclosed for providing a vehicle suggestion to a user based on image analysis. The method may include: receiving one or more vehicle images via website data associated with the user; identifying one or more first-level traits from the one or more vehicle images; obtaining one or more vehicle identifications from the one or more vehicle images based on the one or more first-level traits; determining a value of each of the one or more first-level traits and/or the one or more vehicle identifications via one or more algorithms; determining the vehicle suggestion based on the value of each of the one or more first-level traits and/or the one or more vehicle identifications; and transmitting, to a device associated with the user, a notification indicating the vehicle suggestion.

Abstract: Computer-implemented methods and systems include determining vehicle grades for a user by accessing a plurality of user platforms, identifying user-related content linked to the user via the user platforms, extracting user attributes based on the user-related content, applying weights to vehicle attributes in a vehicle recommendation engine, based on the extracted user attributes, generating the vehicle grades based on the weights, and providing the vehicle grades to the user via a vehicle grading platform.

Abstract: Methods and systems are disclosed for providing a vehicle suggestion to a user based on image analysis. The method may include: receiving one or more vehicle images via website data associated with the user; identifying one or more first-level traits from the one or more vehicle images; obtaining one or more vehicle identifications from the one or more vehicle images based on the one or more first-level traits; determining a value of each of the one or more first-level traits and/or the one or more vehicle identifications via one or more algorithms; determining the vehicle suggestion based on the value of each of the one or more first-level traits and/or the one or more vehicle identifications; and transmitting, to a device associated with the user, a notification indicating the vehicle suggestion.

Abstract: A computer-implemented method for providing a vehicle recommendation to a user may include: obtaining one or more vehicle images via a device associated with the user; identifying one or more user-selected images of the one or more vehicle images based on user interaction with the one or more vehicle images performed by the user via a user interface; identifying one or more first-level attributes from the one or more user-selected images; obtaining one or more vehicle identifications from the one or more user-selected images; determining one or more second-level attributes based on the one or more vehicle identifications; determining a value of each of the one or more first-level attributes and the one or more second-level attributes; determining the vehicle recommendation based on the value; and transmitting, to the device associated with the user, a notification indicating the vehicle recommendation.

Abstract: Disclosed herein are systems and methods for a photograph driven vehicle identification system. In some embodiments, a system for image-based vehicle identification includes a database, an image processor, and a vehicle search engine. The database can include vehicle information. The image processor may apply one or more machine learning models on images received by a user device. The user device can include a camera that obtains the images. The user device can provide a display having images of a vehicle and information associated with the vehicle through a user interface (UI) of the user device. The display can include a first portion at a first location of the UI, and a second portion at a second location of the UI. The first portion and the second portion may be provided at a single instance. The vehicle search engine may identify one or more vehicles in the images received.

Abstract: An intermediate connection electrical connector includes a plurality of blades and a supporting member for supporting the blades arranged in an arrangement direction. The supporting member includes a surrounding wall portion for surrounding the blades and a regulating portion for positioning the blades. The surrounding wall portion includes a side wall portion and an edge wall portion. The side wall portion is at least partially formed of an electromagnetic wave absorbing material. The regulating portion is disposed inside the surrounding wall portion to define a blade accommodating space for accommodating the blades.

Abstract: An intermediate connection electrical connector includes a plurality of blades and a supporting member for supporting the blades arranged in an arrangement direction. The supporting member includes a surrounding wall portion for surrounding the blades and a regulating portion for positioning the blades. The surrounding wall portion includes a side wall portion and an edge wall portion. The side wall portion is at least partially formed of an electromagnetic wave absorbing material. The regulating portion is disposed inside the surrounding wall portion to define a blade accommodating space for accommodating the blades.