A B2C AI model, which can tackle large volumes of information during calamities, assist the relief committee and prioritize the information accurately, reducing the response time and damages.
Enhanced multi-level precedence and pre-emption based priority relief routing should be implemented in India along with the option to pre-empt ongoing services, if needed in order to ensure efficacy.
No existing solution provides this: B2C AI solution involving multiple-sources, i.e. Call, Text, Image, Location, Tweets. Obtaining Information from NO/ LOW-NETWORK AREAS. Multilingual call recording facilitation for non-English speakers. Inclusion of Prioritized Tweets from RealTime data from Twitter. Minimalistic, Easy-To-Use Interface in just 3 steps to avoid panic.
Can be adopted by Govt. and Helpline committee for ease in services. Will help to reproduce the loss of revenue faced by helpline by pre-empting less important calls. Can be scaled to all the disasters and also to fire emergencies, blasts, accidents, pandemics. It can be adopted by hospitals, ambulances for effective routing and addressing during time of serious mishaps.