Al-Powered Review Solution for Medical Records

Healthcare practitioners may swiftly detect and obtain personalized insights for each patient with the help of an Al-powered assistant, improving patient care.

Text-embedding-004 for data-driven insights GCP-VertexAl Model RAG

GCP: Dataflow for Training and Analyzing Al Models

GCP-PubSub for events in real time

GCP: Using BigQuery to make data-driven decisions

GCP: Cloud Services for Processing Patient Data in Real Time

Al Chatbot for Health and Safety at Work

Developing an offline Al chatbot for a major real estate company to improve workplace safety by providing preventative health alerts, emergency assistance, and real-time recommendations while maintaining dependability even in the absence of internet connectivity.

Managing the Pytorch model with the MediaPipe LLM Inference Library

NLP using PyTorch

Microsoft/phi-2 model for inquiries

SQLite for storing data

For safe key management, use AES encryption and a keychain or keystore.

Platform for Simulating and Forecasting Climate Change

Customers can use a GenAl-powered solution trained on Large Language Models (LLMs) to analyze large climate datasets, find patterns, and produce precise forecasts for weather and climate trends.

Gemini for predicting and data analysis report creation

Neural network model construction and training with TensorFlow/PyTorch

Scikit-learn for feature engineering, data processing, and model assessment

Database administration platform in the cloud

Real-time climate insights using climate data APIs

Geospatial data processing tools for managing and analyzing geographic data

Al-powered Solution for Drug Discovery

For a pharmaceutical company, we are developing an Al-assisted drug discovery platform that will aid in biological data analysis, protein-ligand interaction prediction, and the design of new compounds.

Gemini for creating reports and analyzing drugs

PyTorch with TensorFlow for deep learning framework training

Training ML models using Scikit-learn

Data management with AWS Cloud

Tools for analyzing biological data using bioinformatics

Early Disease Detection System Powered by Al

Our team is developing an early disease detection system that can examine enormous volumes of medical data to find trends and abnormalities, resulting in earlier diagnosis and improved patient outcomes. We are doing this by utilizing sophisticated machine learning algorithms.

Fantastic Sage Maker for creating ML models

Using Amazon Comprehend Medical to retrieve medical data

AWS S3 for scalable, secure medical data management and storage

Al-Powered System for Detecting Financial Fraud

Our team has focused on one fintech project: building a strong fraud detection system that can spot and stop fraudulent activity while safeguarding clients' assets.

Real-time transaction data processing with GCP Dataflow

Real-time communication into the fraud detection system is made possible using GCP Pub/Sub.

GCP Cloud features for initiating notifications and preventing transactions