We were contacted by a Content Management Services Giant, who works with several big EdTech companies like Coursera, Udemy, etc., to create the ultimate course, along with the final assessment test for Data Science experts.

We worked on creating an ingredient recommender system for an e-commerce website that wanted to improve its user experience. They wanted to utilize Machine Learning to provide the best recommendations to every client, as per different attributes, to improve results and get repeat customers.

Our client is an educational website owner who runs a business named trans neuron. He offers skills development courses to working professionals and students.

Our client runs a Yoga School and wanted to take his skills to everyone that wanted to practice the ancient art for healthy living.

This Learning Management System (LMS) built on blockchain technology will transform the e-learning landscape by giving learners ownership of their educational journeys.

We worked for Maxelit, a software development firm for the project named The Charter Store. The Charter Store wanted to implement the pipeline task (CI/CD) for the DevOps part.

Learning standards have got a new hold these days! But the education industry stakeholders' reactions are not aligned with the much-required transition movements. A gap has been built and is continuing to widen with issues such as data protection, outdated certification processes as well as data accessibility and archiving. There was a high need for the solution to bring in a positive technical revolution in the education sector.

Automating the process of attendance marking can save companies significant money, reduce employees' effort, and help companies improve productivity. So, we started working on an attendance system that does not require more effort than standing in front of a camera and created the ultimate Facial Recognition system. It also works when the employees pass the camera at a legible angle. Additionally, it is possible to train the model to accurately mark attendance or in-and-out time of employees during the office hours.

Learning standards have got a new hold these days! But the education industry stakeholders' reactions are not aligned with the much-required transition movements. A gap has been built and is continuing to widen with issues such as data protection, outdated certification processes as well as data accessibility and archiving. There was a high need for the solution to bring in a positive technical revolution in the education sector.

Machine Learning Based Analysis Of Historical Sensor Data Can Detect The Need For Preventive Maintenance Before The Same May Be Evident To Human Operators. Thereby Allowing One To Proactively Schedule Maintenance To Prevent Costly Outages. The Resultant Avoidance Of Last-Minute Repairs And Part Replacements Goes A Long Way Towards Achieving Maximum Operational Efficiencies On The Production Line.

Companies were trying to save time, cost, and simpler infrastructure of their business workflows. With the help of the deployment of AWS within our solution, we've cut down the time that was needed to build a new application structure by around 99%. Our Mooglelabs team considers the building blocks to bring out the actual intent, as we'd drive instantaneous virtual infrastructure with the AWS.

The automated approach reduces the manual effort required in visually inspecting mobile screens. Now, there is no need to hold the screen at different angles to capture the right light to manually visualize the cracks in the screens. The mobile screen cracks detection removes manual classification of the same according to a gradation scale published by the client. It also eliminated manual errors and provided a far more robust data capture mechanism for the client.

Our Mooglelabs developers'-built code for the android applications, PrivTalk and Metz, for the client. But when the need to update and build a new version arose, a manual approach was needed to rebuild and redeploy it. To get over this manual approach, we worked on the automation of the process through the DevOps process of building the pipeline with tools such as Jenkins.

The client wanted an automated system to analyze sales calls to improve sales scripts, resulting in better customer service. So, we worked on creating a system that recorded sales calls and automated the analyzing process to assess sales agents' performance and improve business operations. Compare the standard sales script with the text generated from audio speech files of the sales agent to improve the sales script and analyze the sales calls.

Hashing Ad Space disrupts traditional advertising by offering a win-win situation. Users earn cryptocurrency for everyday online activities like viewing ads and playing games, while advertisers gain targeted reach and engagement. This innovative platform leverages blockchain technology to ensure secure and automated transactions, creating a transparent and rewarding experience for all.

The idea was to be able to generate copies, track the resultant customer engagement with the product and continuously improve the copy to create higher interaction and sales. All without having to train human writers in the company’s preferred style of writing the descriptions.