A SaaS subscription-based solution to provide an efficient and easy-to-use mechanism for the construction companies/contractors, and supervisors to overcome the burden of managing complex operations in the construction industry with respect to lead management, estimation, quotation, inventory, supplier handling, compliance, audit, training, and work reporting.

This project is based on OCR using python. The data from documents (hand written or scanned), images, excel, CSV is read and converted into structured data using NLP (natural language processing) and natural language tool kit (NLTK). Important data fields related to patient's visit to clinic or hospital are extracted and stored for further analytics.

It is a healthcare application for scheduling appointment. It provides video counseling and innovative healthcare services.

A telehealth marketplace where registered doctors can either opt for their private site with their domain or continue with the main website. Patients can view doctor detail profile page/s with details such as profile pic, address, appointment cost, about us, medical practice, work and experience. 

The admin creates standard templates for private websites for purchase by doctors. Doctors have full access control to manage their profile, availability, appointments, prescription, payments and provide virtual care via their private website. 

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.