Mooglelabs

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. Read More

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. Read More

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. Read More

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 A gap has been built and is continuing to widen with issues such as data protection, outdated certification processes as well as data accessibility and archiving.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. Read More

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. Due to the emergence of a number of applications in the market, they needed a faster and guaranteed solution and majorly a cost-effective one. The solution was necessary as manual build and deployment could delay and create errors. We used DevOps to create an automated solution to test the application and deploy it automatically. Read More

An Innovative Learning Management System Containing Revolutionary Course Content Purchase Technology. This Learning Management System (LMS) built on blockchain technology will transform the e-learning landscape by giving learners ownership of their educational journeys. Read More

Our client is an educational website owner who runs a business named trans neuron. He offers skills development courses to working professionals and students.The business needed us to create a course and job recommendation system for the users. It should use natural language processing to understand users' needs and find the most relevant results. Read More

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. Read More

Creating unique solutions that far exceed the scalability and viability of traditional systems is now a reality thanks to the advancements in technologies like Artificial Intelligence and Machine Learning. One of the latest applications of the two technologies that our company was able to create includes the Face Recognition Attendance System. Companies can use the system to have accurate identification for attendance or security access. Read more.. Read More

With most of the shopping activities moving online, the skincare industry is looking for ways to replicate the in-person shopping and suggestion system to garner people's trust and make appropriate recommendations that yield results for customer retention. We at MoogleLabs took on the challenge and created a system that can do exactly this through Artificial Intelligence and Machine Learning. To ensure that we were using the most credible sources, we took a significant chuck of initial data from Sephora and other resources to understand customers' needs as per the various demographic factors like skin texture, problems, etc. It helped us understand people's sentiments. Watch the video to understand the process we used to create the skincare recommendation system. As direct product recommendations can be too on the nose for some customers, our system makes ingredient recommendations for the clients. Then, they can choose the product they want to purchase with the appropriate active ingredient. Moreover, the current system is dynamic and flexible. So, it can incorporate new information to upgrade recommendations as further information gets fed into the system. The project offers scalability and can be changed to meet specific businesses' desires for specific products. Moreover, the same system can be applied to other industries to make further recommendations, like using the same procedure to make book recommendations per each individual's previous preferences and purchases Read more.. Read More

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 is an educational website owner who runs a business named trans neuron. He offers skills development courses to working professionals and students.To create an ML model that offers relevant suggestions based on students' and working professionals' requirements for courses and jobs, respectively.Read more.. Read More

To begin, we needed to create a system that could fetch feed from the camera.After appropriate Research and Development, we opted for the OpenCV HAAR CASCADE algorithm as the means to detect faces.Additionally, the detection system is aligned with the task of recognizing the subscriber through image analysis to enable access to the web application.Lastly, we custom-trained our model with CNN of LSTM to classify Yoga Poses.Read more Read More

The automated screen damage detection system was trained on multiple different brands of smart phones. Hence, as an adjunct information, the algorithm also identifies the Make and Model of the phone from its image. This helps in categorizing the device for further workflows and also in assessing the repair costs for the damage detected.The model has been trained to detect and grade screen damage across various mobile phone models and screen types. Thereby providing efficiencies of scale and higher throughput from the assessment stations. The model also provides an automatic assessment of the extent of the screen damage as a function of the screen size and phone type.Read More Read More

The Automated approach reduces the manual effort required To generate, Validate And Check The Product Descriptions. Moreover, It Ensures That The Resulting Copy Doesn’t Have Any Grammatical Or Spelling Errors. A Trained NLP Model Generates the Descriptions Using Only the Product Images As Inputs.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.This ensures that all product-related copies on the site are generated automatically. Consequently, it helps increase the speed with which the client can refresh his online inventory. Read More Read More