AI-Powered Video Analytics Platform

Objectives

To deliver the ability to create customized analytics by adding Artificial Intelligence to cameras to analyze video content in real-time, perform Metadata extraction using Deep Learning algorithms, identify & structure video feeds that are being accumulated, detect and act on insights.

Projects Highlights & Challenges

With AI-powered analytics, we explored various challenges that lead to more insights and improve our decisions in real-time. Data storage was a problem with the tremendous volume of data obtained and with the rising case of hacking and internet breaches, the surveillance system raises a major problem for everyday operations.

Technology Stack

Impact

We delivered accurate data which improved operational processes with additional revenues of 10-15% and clients were able to monetize untapped geographies from Automated Ad Detection & Replacement Systems and Media Assets by contextual advertisement.

Digital Mapping Using AI & Automation

Objectives

We aim to digitize by providing the data and tools needed to convert an analog map into the digital format needed with the use of a digitizer to extract information from scanned documents, later process the extracted content to identify locations, make edits by importing data from PDF to text/ table, & retrieve an aerial image using QGIS software.

Projects Highlights & Challenges

Challenges faced were we constantly worked on scanning portions, testing, and updating our OCR algorithms at regular intervals to incorporate & achieve accuracy. We have structured the data & extracted it from tables for easy management and converted static images into interactive shapefiles to understand trends & identify outliers.

Technology Stack

Impact

At the end of the project, with the use of digital mapping - AI & automation, we created a seamless multi-modal experience for users. We potentially helped the client to save around 70% of the time on manual work with low capital cost, flexibility & adaptability to different data types & sources.

Contract Analysis

Objectives

We aim to extract & gain actionable insights from the contract, track contract statuses & tasks with contract workflow alerts & updates, summarize key findings while reviewing documents, and automate the review & analysis process to help legal experts. We help to streamline legal operations as reviews indicate areas of improvement.

Projects Highlights & Challenges

Challenges faced were to achieve accuracy, extract content from PDF documents & structure applied our complex Natural Language Processing algorithms to identify and break down into sections from contracts, and assigned members to make reviews with instant feedback to retain the use of Artificial Intelligence.

Technology Stack

Impact

We handled the process with out-of-box functionalities with version tracking in the document to speed processes up and keep everyone on the same page. We helped the clients to save 60% of their time on manual review as all the key information from each contract was in one place with insights and actionable information at their fingertips.

Natural Language Query Processing

Objectives

To process the natural language queries (text & voice) on clinical trials analytics platforms posed by researchers. To develop a model that is capable of quickly finding relevant information. To provide an interactive User Interface and eliminate the problem of understanding the database query language.

Projects Highlights & Challenges

Working on this project, our team faced challenges with complex textual queries with the use of entity recognition and text classification techniques, to retain the unavailable feedback loop, and to achieve accuracy on data & integration with Google’s speech-to-text engine.

Technology Stack

Impact

We eliminated our client's problem of understanding database query language by enabling data in simple languages into the User Interface & automated the research process which ease the use for the researchers and made their platform more intuitive and flexible which gave them quicker insights & helped them to get faster returns.

AI Document Understanding

Objectives

We aim to transform unstructured data into structured data making it easier to understand contextual information from documents, make use of Machine Learning & Cloud which help to create scalable, end-to-end, cloud-based document processing applications, analyze images to extract information, and automate the process.

Projects Highlights & Challenges

Working on this project, we handled the entire document workflow, semantic classification, & segmentation, recognizing, extracting, & interpreting data from documents when they vary in structure and achieving state-of-art results out of the box by testing the accuracy of the data extracted to mitigate risk & errors.

Technology Stack

Impact

We fine-tuned data for higher accuracy and mitigated the risk to avoid human errors enabling us to automate an end-to-end solution that potentially helped our clients to save around 80% of the time on manual work and thereby improved customer experience and enhanced operational efficiency.

Gaming Platform

Objectives

To build a B2C Gaming Platform and enhanced gaming experience that users can enjoy and immerse themselves into. To develop a platform where users can join leagues. To enable dashboards to display winners with transparent gaming rules and build gaming insights.

Projects Highlights & Challenges

We faced challenges when we built cross-game development for Web consoles & Mobile. Application is deployed onto the Amazon Web Services cloud at scale to secure and optimize the platform with analytics to help users capture hundreds of data to choose selected ones.

Technology Stack

Impact

We were able to create broader and deeper customer insights which enhanced the odds to woo in new 100K players thereby boosting customer acquisition within the first 3 years. With an end-to-end and simplistic UI approach, our data integration aided in advanced analytics which enhance user retention.

Game Automation

Objectives

To automate game design & tournaments, and created Context API to establish a social context. To customize the leaderboard to announce ranking with up-to-the-moment timeliness information and to develop & validate the statement to ensure the game has gone data cleansing.

Projects Highlights & Challenges

Integrating 3rd party game data providers in the application were a critical task when it comes to security, flexibility, & reliability. We had to automate the game creation and validation processes before we grade and publish on Leaderboard. To capture hundreds of data we acquired gaming analytics with a list of statements to help players to rank them accordingly.

Technology Stack

Impact

We were able to optimize the application performance. We were able to deliver cost-effective strategies with higher ROI which boost productivity and helped the clients to save 90% of their time spent on manual work.