The client specializes in growing and shipping Potted Foliage, Cactus, Indoor Blooming, Indoor Palms, and Outdoor Palms to customers across the US. They are bound by Regulations for plant inspections and restrictions that are specific to individual states. These regulations are published in different web portals and aren’t easy to keep track of. This tool is meant to automate the entire regulatory check process for the transportation of plants
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The client’s data was not labelled as fraudulent or not. Proposed a solution that would take up information that were filed during the claiming process and then predict whether the claim was fraudulent or not.
Scrape stock data from multiple sites and followed by Complex custom financial ETL calculation. Merge missing data points from multiple sites and verify with SEC.gov data. The extracted data will be provided in form of an Excel template that contains 20 years of stock data
To Use Deep Learning to predict the current location of a Reinforcement learning agent based on point cloud (3D) data. A combination of CNN and RNN is used to determine the X, Y, and Z coordinates and an angle theta, which denotes the angle at which the object is moving.
The client is a Swiss based health technology company with over 100 years of combined experience in proactive health prevention, bio feedback and health technology. The premise is that by improving incrementally in all of these areas will contribute a great deal to one’s overall health and well-being.
A leading provider of digital health in precision medicine aims to enhance medical care by accelerating the discovery of new drugs and treatment possibilities by applying the Bio-AI artificial intelligence model and dealing with histology images to predict the pharmacological activities of drug candidates. With multi-drug therapy being a mainstay, they hope to benefit pharmaceutical companies, patients, and society at large with scalable and cost-effective solutions.
An Enterprise Application for the chemical industry that radically transforms the way laboratories operate and innovate. The platform involves Web and Mobile Applications, AI and ML solutions, and Data Visualisation built on the latest native cloud technology stack.
Big data uses mathematical analysis, optimization, inductive statistics, and concepts from nonlinear system identification to infer laws (regressions, nonlinear relationships, and causal effects) from large sets of data with low information density to reveal relationships and dependencies, or to perform predictions of outcomes and behaviours.
Currently, in the healthcare industry, there is no mapping system to assign CarePath developed by doctors to each patient based on their previous medical history due to a lack of a standardized health network.Currently, in the healthcare industry, there is no mapping system to assign CarePath developed by doctors to each patient based on their previous medical history due to a lack of a standardized health network.
Pathology is a branch of Medical Science that involves the study and diagnosis of a disease. It helps to identify how a particular disease is caused by examining body fluids, such as blood and urine, cells, or tissues to diagnose a disease which helps doctors to examine the severity of a disease.
Artificial Intelligence or AI refers to human-like intelligence that has the ability to solve problems through its learning and decision-making capabilities.With the outbreak of COVID-19, most of the traditional norms we followed have taken a turnaround and adapted digital and remote trends. Be it grocery shopping or hospital visits, all turned digital and making it more flexible and easier for customers.
Data Labeling Service – an AI Platform which allows us to generate accurate and high-quality labels using Machine learning models on the collection of data.Labeling training data acts as the first step in the machine learning development cycle under Computer Vision. Consider we need to train a machine learning model to identify a specified category of objects from the collection of data.
Artificial intelligence is being embraced by several industries including manufacturing, automation, finance, agriculture, education, healthcare, and other industry verticals. Big companies like IBM, Amazon Web Services, and Siemens are funding AI startups and are also merging and acquiring small AI companies.
Automated solutions for enhancing workplace safety to reduce injuries. We provide solutions with the latest advances in Vision Intelligence for our interested partners and clients.
As predicted by many successful executives, NLP market is expected to grow to a value of $16 billion by 2021, it is indeed no surprise to see the tech giants are investing heavily and competing to make their mark. AI in law is slowly transforming the profession and closing in on the work of paralegals, legal researchers, and litigators.
Mediapipe is a framework used to build Machine Learning Pipelines. It works on many different solutions like Face Detection, Hands, Object Detection, Holiste Mic, Fac Poseesh,, etc.MediaPipe Hand is a machine-learning employed high-fidelity hand and finger tracking solution. It detects 21 Landmark points as shown in Fig. are recorded from a hand in a single frame with the help of multiple models which are working simultaneously.
A demo of running out PPE detection model in Coral Edge TPU. The slight flickering in the helmet detection can be further tuned or smoothed out for a more accurate detection. This is part of our efforts in building a true inference on the edge solution for PPE compliance in industries.
Be it computer vision analytics company that train algorithms to detect humans and their gestures for the context of many use cases (or) Text Analytics that build a searchable knowledge graph and actionable insights (or) Conversational AI, the Powerful AI engine trained on reams of data to understand customer needs – OptiSol can help you with all.
The evolution of mobile medical apps has the potential to reduce global healthcare costs and hospital waiting times, enhance patient convenience and compliance, and can significantly improve the overall quality of care. There have been approximately 2,59,000 mobile medical apps in the app stores and the total number of medical apps is expected to further reach 6,35,000 apps by the end of 2025 due to continued patient demand, and raising awareness for these apps.
OptiSol helped a Startup company in building an AI/ML-based solution approach that helps non-technical users to record sign translations of bible verses. This application allows sign language experts to login into the web portal and uses gesture recognition.