Our scale-up company is seeking an AI and Machine Learning expert to develop a cutting-edge predictive analytics platform for monitoring and predicting public health disease outbreaks. Utilizing advanced technologies such as LLMs and NLP, the platform will analyze diverse data sources to provide real-time insights and forecasts, enabling health authorities to respond proactively and mitigate the impacts of outbreaks.
Public health officials, epidemiologists, and policy makers needing accurate, real-time data to manage and prevent disease outbreaks.
The inability to predict and control disease outbreaks poses significant threats to public health, leading to widespread illness and economic disruption. A predictive solution is critical for timely intervention.
Health agencies face increasing regulatory pressure to improve their surveillance systems and are willing to invest in predictive tools to comply with public health standards, achieve cost savings, and prevent economic losses.
Without a reliable predictive model, outbreaks can escalate uncontrollably, resulting in lost lives, strained healthcare systems, and substantial economic fallout.
Current alternatives include traditional surveillance methods and basic analytics that lack real-time predictive capabilities, often resulting in delayed responses.
Our platform uniquely combines LLMs, NLP, and computer vision to offer a comprehensive, real-time predictive solution, setting it apart from existing analytics tools with limited scopes.
We will target public health departments, NGOs, and healthcare organizations through direct outreach, webinars, and partnerships with health tech influencers, showcasing the platform’s unique capabilities and success stories.