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.

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.

It is a web-based AI-Edtech platform for micro-learning and skill enhancement, meeting the demand for flexible, scalable learning solutions. The platform enables students to browse and purchase courses with flat fees and time-limited access (60-90 days).

The system ensures streamlined course monetization with paywalls and provides admins control over pricing, categories, and course management. The AI-powered assistant, governed by a token-based model, enhances user engagement while offering premium upsell opportunities for additional support.

This solution is designed to capitalize on the growing EdTech market by offering personalized, AI-driven learning and automated management processes, with opportunities for revenue expansion through certifications, analytics, and corporate training solutions.

SaaS-based IoT enabled workforce and workspace management system designed & developed for facility management companies to meet their compliance needs. It provides transparent business operations along with real-time tracking, which gives a competitive advantage to companies in their service offerings. 

With the flexibility of run-time decision making with minimized micro-management, the system boosts the operational efficiency of service offerings. Combination of IoT and 360-degree reporting, allow companies to view overall performance reviews and plan preventive/reactive corrective measures in a timely manner.

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

The primary objective of the compliance process automation platform is to enhance the operational efficiency of the energy company's Energy Saving Certificate (ESC) process. This will be achieved by automating the collection, validation, and reporting of energy savings data related to lighting, air conditioning, heat pumps, and batteries. The platform aims to reduce manual processing time, minimize errors, and ensure compliance with regulatory requirements, ultimately leading to improved accuracy in reporting and increased energy efficiency.