Artificial Intelligence Platform

"for an app project mainly built for a health care sevice"

"Research Purpose"

"We are a apartment property owner looking at face recognition to verify that only residents that live in the property belong there for security reasons"

"Gostaria de testar a ferramenta"

"Wwoowowwo"

"Looking for cloud AI Platform to search deal in nearby areas "

"Business research"

"$1000000"

"G-force"

"Request for pricing"

"I am a middle aged man looking to make my first investment in stock"

"i would like learning about this program"

"Compare Microsoft Azure AI with Google Cloud ML Engine and IBM Watson AI Platform"

"je voudrais faire un teste de IA pour IOT"

"Need to build a sentiment analysis application "

"I want to carry out similar analysis on the existing 100 data to do a demo to see the results."

"Comparison"

"We would like to try the software to see if we would purchase it."

"IBM Watson for analytics "

"Learning "

"Hi need to know which is better "

"AI platform that utilises either Machine learning and/or Deep learning to make reasonable predictions in the following criminal activity within a South African enviroment. > Geographical Hot spots for dog fighting in the following categories within South Africa * Street Fighting (unplanned events) * Hobbyist fighting (planned) * Professional fighting (planned) * Professional Street fighting (highly planned) (I will provide a summarized document for review to give you an idea of this illegal blood sport) > What Outcomes am I looking for? 1. Identify and list geographical hotspots in a grid/map format per province, city and suburb within South Africa in which there is a probability of a planned and/or unplanned dog fight. 2. Identify with good plausibility the type of dog fight that may occur (Street, hobbyist, professional, professional street) 3. Provide a probable date for the planned events within a 72 hour window. 4. Build a database/repository of predictions which will serve in analysis and reporting for medium to long term planning for prevention and law enforcement 5. Alert law enforcement Data Sources: Unfortunately data and reporting on this crime is extremely rare and broad. Due to legal restrictions the one authority(NSPCA) with the required data is not permitted to release such information to me. This product will therefore function primarily based on data mined from the following sources: Statistical Data: * Historic crime mapping and geographic profiling data (gang and drug related) * Government Sources (National Crime stats) * Medical and health sources (Veterinary Associations) * Non profit Sources (Animal Rescues) * Other organisational sources (Breed registeries) Dynamic Data: * Niche websites (Sales of paraphernalia, dog breeders etc) * Social Media * Chat rooms * News and 3rd party aggregators like Reuters, LexisNexis etc * DARKWEB!!! (whilst i undersand that this source might pose a challenge, it is vitally important for obvious reasons when we consider the underworld criminal aspects of dog fighting. Live Data: * Community based policing and alerts (use of a third party app which contains public alerts) "