An advertisement platform promoting the use of clean energy for commute through biking campaigns in 3 simple steps- "affiliate, install & ride". It enables biking enthusiasts to enroll their private bike into campaigns run by different advertisers. This helps the bikers to earn a decent amount for every kilometer cycled thus enabling healthy habits while using the bike as a advertisement tool

It is a smartphone/web-based marketplace for buying and selling new and second hand goods. This has a simplified process for users to use a smartphone to take photos of a product, list the product, accept offers, and sell them. Something similar to Facebook Marketplace, Offer Up, and Caurosell. This portal has been developed for a community of about ~1,200 students who live in close proximity with each other and constantly sell everyday items like furniture and books.

A personalization platform that provides personalization tools and allows customers to create personalized products, the application provides a platform to sellers for product designing and selling options to their end customers, users can select any specific product and customize it as per their requirements and then post and sell products in popular e-commerce marketplace platforms.

A supply chain solution to produce a platform to connect suppliers and carriers. Carriers/drivers get notifications in real-time based on the dispatch algorithm to accept a booking request. They can either accept/decline a booking request or prose a new quote based on load, truck type, source and destination. We have developed an algorithm to match suppliers (booking requests) with carriers. We have also developed messaging and calling facility between supplier and carrier.

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

This application allows user to get their STD (sexually transmitted disease) status along with their partners online without going through a doctor. One can directly see the results   on the devices and take desired actions. The bigger goal is to prevent the person from the stigma associated and reduce the disease spread through effective monitoring and interventions.