Project aims to develop a comprehensive Mobile Workforce Management and Compliance Reporting solution tailored specifically for companies operating in the field of security services. This innovative platform will seamlessly integrate both web and mobile applications to enhance the efficiency, accountability, and compliance of security personnel in the field. 

With Mobile Workforce Management and Compliance Reporting solution, we aim to empower security service companies with the tools they need to optimize their operations, improve compliance, and ensure the safety and security of their clients. This project will enhance efficiency, reduce risks, and ultimately lead to higher client satisfaction and business growth. 

AI Meeting Assistant is an advanced system providing any business to handle real time transcriptions & result driven analysis during meetings or for recorded meetings. Proposed system is allowing businesses to extract meaningful information from meetings like key topics, action items, MoM, key stakeholders, follow up points etc via AI driven tools.

Key Features:

• Call recordings and Screen Capturing (update it will be developed in C# not in AI/Python)
• Audio Transcription
• Speaker diarization
• Computer vision analysis Shared screen analysis (slide, title extraction, screen OCR, etc.)
• Sentiment analysis
• Topic extraction
• Keywords and meeting analysis
• Intent and inferences
• Identification of action items
• Summarization
• Maintaining meeting logs and follow ups
• Zoom, MS Teams, Google Meet & AWS S3 integration along with manual uploading

A cloud based ERP system for a door manufacturing company. It manages overall business operations starting from inventory management, quotations, sales and purchase orders, catalog management, invoicing, payment and warehouse management. BI Reporting is also part of this solution which are providing useful business insight and help in taking informed business decision.

It is a fully-automated risk assessment & benchmarking process management system. It allows business owners to build a comprehensive, industry-specific risk profile for business in a matter of minutes.
The system facilitates affordable, intelligent matching of risk and insurance, reducing the likelihood of under insurance and optimizing premium expenditure.

The primary objective of the proposed application is to enhance the safety and well-being of long-distance and courier service drivers by reducing the incidence of accidents through proactive health monitoring and driving aptitude assessments. The platform, accessible via a mobile app, will empower drivers to manage their daily vitals and ensure their readiness for driving by integrating multiple data collection methods:

1.    Manual Data Entry: A user-friendly intake form will allow drivers to manually input their vital information, with automated notifications based on the data collected.
2.    Camera-Based Monitoring: Drivers can measure their pulse wave by pressing a finger against the front camera, enabling real-time monitoring of pulse stability and fluctuations.
3.    Ring Device Integration: Drivers equipped with a compatible ring device can seamlessly upload vital data, ensuring comprehensive health monitoring.

By leveraging these methods, the solution aims to minimize the risk of accidents caused by health-related issues, ultimately contributing to safer roads and a healthier workforce.

This application simplifies the Loan process for banks and borrowers by eliminating the manual process of documents verification. User fills a loan application form and uploads supporting documents. Then a hashing algorithm (Keccak256) converts the user application as well its supporting documents to a 32-bit hash. These hashes are then stored on Smart Contract against a user ID and a block address is generated for every user.