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.

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

Predictive Dialing system has been developed for Australia based Real Estate & Financial Services provider. The main objective of this system is to increase efficiency of business operation by 35%-40% by managing calls based on predictive dialing concept. By eliminating delaying factors like no answer, wrong calls, dnc, etc. automatically, system is connecting telemarketing team with available customers directly, hence an increase in productivity.

It is a streamlined solution for managing fire inspection operations and maintenance records through its an integrated field service technician mobile apps, client apps, and web-admin interface tailored to enhance compliance and operational efficiency for businesses. The platform consolidates critical fire safety data into a user-friendly, all-in-one system, ensuring accessibility, real-time updates, and simplified compliance with regulations.
This system strengthens client relationships by delivering seamless access to maintenance reports, schedules, and alerts while promoting transparency. With features like real-time updates, job management, asset tracking, secure document storage, and compliance tracking.

This PaaS system has been developed for medium to enterprise-level organizations to manage all kinds of potential crises along with action plans. The system allows all company stakeholders and internal/external entities to have a collaborative approach to managing reputation damage, financial implications, legal liabilities and others.