To annotate video frames of movies/webseries/etc. into categories like shot boundary, credit boundary, black frames & SMPTE Bars, so that audiences find it easier to skip through unwanted sections of the videos. Project Category Computer Vision, Media Achievement The annotated videos used as inputs for deep learning, are now enabling AI models to successfully acquire […]
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To detect and analyze anomalies in queries posted by students worldwide on academic web-based platforms and segregate unwanted elements (if any) from their questions that are not required or associated with the context directly, in order to render a clear visibility to the ones in charge of answering the queries. Project Category Natural Language Programing, […]
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To assess readiness and conduct manual annotation of auto-extracted (using ML models) text segments on English video ads for generating English timed-text subtitles representing all on-screen (overlay) text covering relevant/key information in English advertisement videos. Project Category Natural Language Programing, Media Achievement The annotated videos used as inputs for deep learning, are now enabling AI […]
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While advertising their brand online, advertisers often face problems due to the negative or damaging influence of inappropriate or unsafe content that appears around the advertisement. In order to prevent such negative influence, it is crucial to protect the brand’s reputation by segregating the safe and unsafe content. Project Category Natural Language Programing, Media Achievement […]
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The ‘Code Generation’ project required an efficient code generation process by taking input from user and accurate conversion of natural language text into executable code. Many individuals, especially those new to programming, often struggle with writing code based on task descriptions. The challenge is to create a system that can understand the intent of the […]
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The conventional method of performing HR processes manually is no more a trend as it consumes more time and uses more valuable resources. There are more chances of human errors and security breaches in this process. On the contrary, HR automation is a smarter way to make businesses more efficient and result-oriented. Project Category Generative […]
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To extract generic labels or tags from unstructured liquor text data in Korean language. The aim is to classify any text content related to liquor products into pre-defined categories and enable customers to easily search and navigate the respective website or application. Project Category Natural Language Programing, Food Achievement The classified and labeled data prepared […]
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To extract the dimensions of various products from given product source links for enhancing AI-enabled e-commerce platforms and also providing the proper product details related to a particular ASIN. This further ensures a seamless user ordering experience and also finds out the incorrect product details from a particular e-commerce site. Project Category Generative AI, Retail, […]
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To create proper details of a product i.e. product title, product description, product key features and benefits for AI-enabled tools to ensure a more compact and easier search reference when a consumer looks for a product online. The online servers are filled with numerous products which are not only irrelevant but also confuse the buyers. […]
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A leading financial institution, with a presence spanning across multiple countries and regions, recognized the need for a streamlined and efficient process for sourcing and managing a variety of banking documents. These documents included bank cheques, bank forms, loan documents, mortgage documents, and various other critical financial paperwork. Project Category Data Collection, Data Sourcing, Banking […]
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AIW is a Data Labeling & Annotation services company providing highly accurate and timely human-in-the-loop labeled and annotated data across various domains and industry verticals to AI-enabling businesses intending to enable superior training of AI and ML models.
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