Research Projects

It is mostly for the online store. For instance, just 3 to 4 photographs are submitted for each product on Amazon.com when someone wishes to buy it. The purchasers will not have a strong understanding of the goods from the photographs. Buyers will receive more details about the product, such as length, width, how the frontend and backend appear, etc., if we convert 2D photographs to 3D images. In simple terms, the buyers can view the image in 360 degree.

This project helps in capturing the metrics of embedded advertising (Brand Placement) and adds more value to embedded advertising. The benefits and features will become readily available for marketers, Advertisers, and media production houses. Users' desire to buy the displayed product while watching a video content will allow them to land on the product merchendise page by using AI engine.

Analyzing sports especially in cricket in terms of posture recognition, fitness assessment, predictions on team or player performance using AI Methods.

Using natural language processing we can get insights from the bigdata (NLP with SQL Approach)

This model allows us to determine if a person has diabetes or not, and it also forecasts whether they may get the disease in the future. This model gives suggestions and recommendations on how to avoid acquiring diabetes.

Using NLP and transfer learning we are building a recommendation system for this research foundation. Any person who likes to ask a question related to Nayas and shastras. This model can answer for it.

We can develop a workable HR model based on AI that can help in attracting and selecting the right candidate, improve candidate experience during recruitment, smoothen the Onboarding Process, check attrition and rehiring old employees.

We are building a facial recognition model for cats and also we are developing a edge monitoring device using computer vision and AI for pets.

Reviews : Sentiment Analysis and Co-Creation