Deep learning allergen mapping

1. A method comprising:

providing, from a shared pool of configurable computing resources, to at least one computer processor circuit executing an artificial neural network, a set of known online content data, wherein the artificial neural network is trained using the known online content data, and wherein the known online content data comprises a set of known allergen data;

detecting, by the at least one computer processor circuit executing the artificial neural network, from a set of incoming online content data, allergen content data, wherein the allergen content data comprises a geographic location of a smart phone with an enabled global positioning service (GPS) feature, wherein the allergen content data includes a photograph taken by the smart phone, wherein the photograph includes a flower in a background of the photograph and detected by the artificial neural network using object recognition;

analyzing, by the at least one computer processor circuit executing the artificial neural network, the allergen content data;

tagging, by the at least one computer processor circuit executing the artificial neural network and based on the analyzing, the allergen content data, wherein the tagging comprises a quality indicator and an intensity indicator, wherein the quality indicator comprises a pollen associated with the flower in the background of the photograph, wherein the intensity indicator is based on a blooming season of the flower in the background of the photograph;

generating, by the at least one computer processor circuit executing the artificial neural network and based on the tagging and the geographic location, an entry on an allergen map;

filtering, by the at least one computer processor circuit executing the artificial neural network, the allergen map based on a profile of a user to show allergen entries having a first quality indicator and a first intensity indicator, wherein the profile of the user comprises a location of the user and allergen sensitivities of the user, the allergen sensitivities including the first quality indicator and the first intensity indicator;

displaying, by the at least one computer processor circuit executing the artificial neural network, the filtered allergen map on a device of the user; and

providing, by the at least one computer processor circuit executing the artificial neural network, a recommendation to the device based on the filtered allergen map.

2. The method of claim 1 , wherein the providing comprises applying, to the allergen content data, object recognition and natural language processing.

3. The method of claim 1 , wherein the online content data is collected via data mining across the Internet.

4. The method of claim 1 , wherein the online content data comprises photographic content and video content, wherein the photographic content comprises photographs of allergens selected from a group consisting of: plants, animals, and foods, wherein the video content comprises videos of allergic reactions.

5. The method of claim 1 , wherein the quality indicator conveys an allergen detected in the allergen content data, wherein the allergen is selected from a group consisting of: a pollen allergen, a dust allergen, and a food-borne allergen.

6. The method of claim 1 , wherein the intensity indicator conveys a particular level of intensity of an allergen detected in the allergen content data.

7. The method of claim 1 , further comprising:

generating, in response to the generating the entry on the allergen map, a set of new allergen entries on the allergen map;

generating, based on the allergen map and a profile of a user, an alternate travel route for the user, wherein the profile of the user comprises a location of the user and allergen sensitivities of the user; and

generating, based on the allergen map and the profile of the user, a recommendation to the user.

8. The method of claim 1 , wherein the entry on the allergen map comprises a flag on the allergen map.

9. A computer system comprising at least one computer processor circuit configured to perform a method comprising:

providing, from a shared pool of configurable computing resources, to the at least one computer processor circuit executing an artificial neural network, a set of known online content data, wherein the artificial neural network is trained using the known online content data, and wherein the known online content data comprises a set of known allergen data;

detecting, by the at least one computer processor circuit executing the artificial neural network and from a set of incoming online content data, allergen content data, wherein the allergen content data comprises a geographic location of a smart phone with an enabled global positioning service (GPS) feature, wherein the allergen content data includes a photograph taken by the smart phone, wherein the photograph includes a flower in a background of the photograph and detected by the artificial neural network using object recognition;

analyzing, by the at least one computer processor circuit executing the artificial neural network, the allergen content data;

tagging, by the at least one computer processor circuit executing the artificial neural network and based on the analyzing, the allergen content data, wherein the tagging comprises a quality indicator and an intensity indicator, wherein the quality indicator comprises a pollen associated with the flower in the background of the photograph, wherein the intensity indicator is based on a blooming season of the flower in the background of the photograph;

generating, by the at least one computer processor executing the artificial neural network and based on the tagging and the geographic location, an entry on an allergen map

filtering, by the at least one computer processor circuit executing the artificial neural network, the allergen map based on a profile of a user to show allergen entries having a first quality indicator and a first intensity indicator, wherein the profile of the user comprises a location of the user and allergen sensitivities of the user, the allergen sensitivities including the first quality indicator and the first intensity indicator;

displaying, by the at least one computer processor circuit executing the artificial neural network, the filtered allergen map on a device of the user; and

providing, by the at least one computer processor circuit executing the artificial neural network, a recommendation to the device based on the filtered allergen map.

10. The computer system of claim 9 , wherein the providing comprises applying, to the allergen content data, object recognition and natural language processing.

11. The computer system of claim 9 , wherein the online content data is collected via data mining across the Internet.

12. The computer system of claim 9 , wherein the online content data comprises photographic content and video content, wherein the photographic content comprises photographs of allergens selected from a group consisting of: plants, animals, and foods, wherein the video content comprises videos of allergic reactions.

13. The computer system of claim 9 , wherein the quality indicator conveys an allergen detected in the allergen content data, wherein the allergen is selected from a group consisting of: a pollen allergen, a dust allergen, and a food-borne allergen.

14. The computer system of claim 9 , wherein the intensity indicator conveys a particular level of intensity of an allergen detected in the allergen content data.

15. The computer system of claim 9 , wherein the method further comprises:

generating, in response to the generating the entry on the allergen map, a set of new allergen entries on the allergen map;

generating, based on the allergen map and a profile of a user, an alternate travel route for the user, wherein the profile of the user comprises a location of the user and allergen sensitivities of the user; and

generating, based on the allergen map and the profile of the user, a recommendation to the user.

16. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a computer processing circuit to cause the circuit to perform the method comprising:

providing, from a shared pool of configurable computing resources, to the computer processing circuit executing an artificial neural network, a set of known online content data, wherein the artificial neural network is trained using the known online content data, and wherein the known online content data comprises a set of known allergen data;

detecting, by the computer processing circuit executing the artificial neural network and from a set of incoming online content data, allergen content data, wherein the allergen content data comprises a geographic location of a smart phone with an enabled global positioning service (GPS) feature, wherein the allergen content data includes a photograph taken by the smart phone, wherein the photograph includes a flower in a background of the photograph and detected by the artificial neural network using object recognition;

analyzing, by the computer processing circuit executing the artificial neural network, the allergen content data;

tagging, by the computer processing circuit executing the artificial neural network and based on the analyzing, the allergen content data, wherein the tagging comprises a quality indicator and an intensity indicator, wherein the quality indicator comprises a pollen associated with the flower in the background of the photograph, wherein the intensity indicator is based on a blooming season of the flower in the background of the photograph;

generating, by the computer processing circuit executing the artificial neural network and based on the tagging and the geographic location, an entry on an allergen map

filtering, by the at least one computer processor circuit executing the artificial neural network, the allergen map based on a profile of a user to show allergen entries having a first quality indicator and a first intensity indicator, wherein the profile of the user comprises a location of the user and allergen sensitivities of the user, the allergen sensitivities including the first quality indicator and the first intensity indicator;

displaying, by the at least one computer processor circuit executing the artificial neural network, the filtered allergen map on a device of the user; and

providing, by the at least one computer processor circuit executing the artificial neural network, a recommendation to the device based on the filtered allergen map.

17. The computer program product of claim 16 , wherein the providing comprises applying, to the allergen content data, object recognition and natural language processing.

18. The computer program product of claim 16 , wherein the online content data comprises photographic content and video content, wherein the photographic content comprises photographs of allergens selected from a group consisting of: plants, animals, and foods, wherein the video content comprises videos of allergic reactions.

19. The computer program product of claim 16 , wherein the quality indicator conveys an allergen detected in the allergen content data, wherein the allergen is selected from a group consisting of: a pollen allergen, a dust allergen, and a food-borne allergen.

20. The computer program product of claim 16 , wherein the method further comprises:

generating, in response to the generating the entry on the allergen map, a set of new allergen entries on the allergen map;

generating, based on the allergen map and a profile of a user, an alternate travel route for the user, wherein the profile of the user comprises a location of the user and allergen sensitivities of the user; and

generating, based on the allergen map and the profile of the user, a recommendation to the user.