Summary: To detect various human activities such as fight detection, Attack detection, Jump detection

This implementation is based on official AlphaPose repository .In this project we have used AlphaPose for human action recognition and XGBOOST for activity recognition. This project implements “Action Recognition Using AlphaPose ".With the help of this project we can detect the human Actions/Activities based on the Human Pose.

Technology used –

Slowfast model from GluonCV, AlphaPose, XGBoost, Python

Requirement analysis Data gathering and analysis Annotation and data augmentation on custom images trained multiple models and selected the right model based on MAP Summary - Built an AI Based system to remove the risk to the operator while operating the shredder machine. The application stops the shredder machine instantly, if the hand of the operator crosses the safety zone. Roles & Responsibilities

Use case: - The objective is to provide the answers for the common questions raised by user/employees. Description: - This Conversational AI bot will help in providing he answers for some of the regular questions asked by the employees in an organization.

Technologies: - Python, DistilBERT, EMLO.

Roles: -

• Was involved in data labelling of the data set.

• Involved in data cleaning.

• Involved in model selection.

• Involved in training various models.

Risk Analyzer:

• Analyze Risk by Commodity/Portfolio using Monte Carlo , Historical, Parametric methods.
• Calculate incremental/component/marginal VaR using R.
• Analyze Periodical Exposure.
• Map Risk to user-defined Factors.

 Rules Engine

• This engine is used for designing user defined business rules.
• The end user, can set business rules using this component.

Reporting Framework:

• Creating reports by using SSRS technology.
• User can select different measures from given control and view desired report.
• Reports are allowed to save in different format i.e. PDF, Excel etc.

Back Testing:

• Calculating value at risk for positions and price based on long VaR & short VaR, Plotting graphs with certain period intervals.
• Exporting plotted graph reports with numeric values to Excel and PDF formats.
• The user can look for the reports like price trend Report, M2M P&L Report for price securities.

Based on rendered graphs user can find out the risk by viewing breached graph to the long & short VaR.