It is a Peer-to-Peer Marketplace designed to streamline direct transactions between buyers and sellers, eliminating the need for intermediaries. The platform specializes in high-end men's fashion, focusing on luxury streetwear and vintage pieces that cater to discerning tastes.

An AI phone agent for restaurants, designed to automate and enhance customer interactions over the phone. It handles orders, reservations, FAQs, and customer queries while seamlessly integrating with POS systems. With the ability to manage unlimited simultaneous calls, upsell intelligently, and provide real-time analytics, it reduces missed opportunities and improves customer satisfaction.

An enterprise-level tool developed for electricity providers and their customers (EV users & smart home product users) with their smart-charging algorithm helping them to charge their electric vehicles or manage their smart home devices defining their priorities during cheapest or climate-friendly hours. Another advantage for the users is to optimize the use of electricity generated using solar panels, allowing users to first use the power generated using solar and then via the grid. For electricity providers, the platform balance the grid by switching the charging of the connected fleet of electric vehicles on and off so that electricity producers can avoid starting expensive, fossil fuel-driven backup generators. And participant users earn monetary rewards being participating in this.

Facilitaties patients to chat with AI based Medical Assistant to share the current medical condition symptoms

Medical Assistant assess the diagnosis and generate the prescription for the assessed diagnosis.

Facilitates patient to generate the work notes

Patient can find the pharmacy with cheepest medicine prices, local pharmacies etc.

We designed and implemented a middleware platform that standardizes communication between multiple Electronic Health Record (EHR) systems and a healthcare payment platform. By abstracting vendor-specific logic into a unified integration layer, the solution provides a single point of connectivity for diverse EHR systems. This architecture simplifies integrations, improves maintainability, enhances scalability, and enables faster onboarding of new healthcare providers while ensuring reliable payment processing and standardized data exchange.

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.