vetdoc.net- veterinary knowledge base developed with Python/Django: Quintagroup Web Development project at Qualified.One

vetdoc.net- veterinary knowledge base developed with Python/Django by Quintagroup

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Following the best practice guidelines, the VetDoc platform is constructed of two parts: Veterinarian search allows searching for veterinarian or vet clinic by name, specialty or area, offering even results in a 5-25 km radius (based on Google map integration). Veterinarians can be added to user profile so that their contact and educational information is at your tips. Veterinarians themselves can update information presented

on their website profiles. Articles in the form of a blog are added by the site administrators. They can be shared, added to favorites, and commented on. Quintagroup created a website design, provided its responsiveness and accessibility. Search and account management are user-friendly yet powerful. The current database contains over 20 000 veterinarians and over 10 000 clinics. PostgreSQL and Elasticsearch are scalable and ready to be filled in with even larger numbers of profiles.

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