Description

This project extracts sentiment from earnings call transcripts using fine-tuned NLP models like BERT. The system scores sentiment by topic (financial metrics, macro trends, regulation) and time, helping institutional investors interpret qualitative insights to support financial decisions. A custom dashboard enables visualization and drill-down analysis of paragraph- and keyword-level sentiment trends.

Description

Neural Tax Networks aims to reduce confusion during tax season using AI to assist with accessible tax and accounting research. Our product provides reasoning solution - system analyzes and applies the law. It incorporates declarative logic rules with natural language processing. Our system retains the solution and reasoning for future access and provides an "audit trail".

Description

STAC-IT is a mobile planning app designed to streamline social outing planning by centralizing scheduling, polling, and activity suggestions. It integrates smart recommendations based on availability, location, and preferences, using AI for generating stacked activity plans. Built using React Native, Django, and Firebase, the app simplifies group coordination.

Description

Pre Innovations revolutionizes startup pitch events by transforming them into interactive, data-driven experiences through the use of PreMoney®, a virtual investment currency. The platform enables audiences to act as mock investors, providing real-time feedback and investment signals to founders during live or remote events. This gamified approach boosts engagement, helps identify high-potential startups, and provides valuable performance insights to presenters. Developed using Flutter with Firebase and Google Cloud Platform backends, the app features dynamic leaderboards, hybrid (in-person and remote) participation, and post-event monetization through access to pitch content. The product was built using a hybrid Agile-Waterfall methodology with continuous iteration to support evolving user needs and scalable event experiences.

Description

Gush is a personality-based dating app promoting authentic connections through blind conversations. Users are matched by personality and engage in conversation before seeing each other's photos. Built using React Native and Spring Boot, with infrastructure on Render and Firebase, it includes a token-based monetization model to encourage meaningful interactions.

Description

Culture Tech is a SaaS startup delivering solutions to museums and other organizations for licensing and rights management. The company's primary product is MONA, a software which allows users to upload their collections, track licenses, and set up automated workflows for the licensing process. We worked on adding an integration to a Digital Asset Manager (DAM), Resourcespace, in MONA, so clients can import their collections directly from their DAM. Using technologies like Java, VueJS, and Docker, we developed this new integration using modern software development methodologies.