Abstract: A computer-based system and method uses input received from a user about an ailment of the user and other characteristics of the user, and automatically recommends a CBD product, including a type and dosage, to the user. The system uses information about products and dosages used by other similar users and guidelines from medical professionals to produce the product recommendation for the user. The system may use machine learning to generate its recommendations and to improve its recommendations over time, based on feedback from users, medical professionals, and others about the efficacy of particular CBD products for treating particular ailments in various user cohorts.

Abstract: A user-friendly method for filtering LED products in order to identify a matching design ideal for a specific lighting application described by a user. The method includes first displaying a plurality of filter question, each associated with a plurality of answers. Next, a desired answer is received from a user account and is used to update an aggregate set of desired specifications with an at least one technical specification. The aggregate set of desired specifications is then compared against each of a plurality of LED designs in order to identify an at least one matching LED design. The aforementioned process is repeated as a plurality of iterations, with each iteration being associated with a filter question. Resultantly, the matching LED design of a last iteration is graphically displayed through a user computing device.

Abstract: A user-friendly method for filtering LED products in order to identify a matching design ideal for a specific lighting application described by a user. The method includes first displaying a plurality of filter question, each associated with a plurality of answers. Next, a desired answer is received from a user account and is used to update an aggregate set of desired specifications with an at least one technical specification. The aggregate set of desired specifications is then compared against each of a plurality of LED designs in order to identify an at least one matching LED design. The aforementioned process is repeated as a plurality of iterations, with each iteration being associated with a filter question. Resultantly, the matching LED design of a last iteration is graphically displayed through a user computing device.

Abstract: A lighting apparatus with light-emitting diode chips and a remote phosphor layer includes a plurality of LED chips, a cover, a heat sink, a first end cap, a second end cap, at least one PCB, and a LED driver. The plurality of LED chips is positioned on the at least one PCB and electronically connected with the LED driver. The LED driver is electrically connected with male contacts which traverse through the first end cap and the second end cap. The at least one PCB is enclosed with the cover, the heat sink, the first end cap, and the second end cap. The blue light and ultraviolet light from the plurality of LED chips coverts into white or yellow light from a phosphor layer of the cover, where the phosphor layer is remotely positioned from the plurality of LED chips.

Abstract: A lighting apparatus with light-emitting diode chips and a remote phosphor layer includes a plurality of LED chips, a cover, a heat sink, a first end cap, a second end cap, at least one PCB, and a LED driver. The plurality of LED chips is positioned on the at least one PCB and electronically connected with the LED driver. The LED driver is electrically connected with male contacts which traverse through the first end cap and the second end cap. The at least one PCB is enclosed with the cover, the heat sink, the first end cap, and the second end cap. The blue light and ultraviolet light from the plurality of LED chips coverts into white or yellow light from a phosphor layer of the cover, where the phosphor layer is remotely positioned from the plurality of LED chips.