Predictive modeling is a mathematical process used to predict future events by analyzing patterns in a given input data. It is a crucial component of predictive analytics, which uses current and historical data to forecast activity, behavior and trends.

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful insights, and supporting decision-making. Data analysis important for data driven decision making and helps businesses to operate effectively.

Software development is the process of conceiving, specifying, designing, implementing, documenting, testing, and bug fixing involved in creating a software products. Software development also includes research, prototyping, modification, reuse, re-engineering, maintenance, or any other activities.

Anomaly detection is a technique that uses AI/ML to identify abnormal behavior as compared to an established pattern. Events that deviate from an established baseline pattern is considered an anomaly. All events are scored based on level of anomality and any anomaly alert has sufficient information to make easy root cause analysis.

While many schemes have been implemented to provide security at rest and at transit, there is no scalable approach for security in processing data which is a major challenge. To ensure privacy and confidentiality of the data being violated, search on encrypted data is designed and several research papers have been published in this scope.

Provide intelligence and reduce response time while respecting privacy. This is an AI gun detection system which constantly searches for gun patterns over surveillance video and immediately send an alert to school administrators if a gun is detected. This quick response time can help save lives in the event of a school shooting and improve overall school security measures.