In Address Tagging projects, our team labels various components of an address such as name, society, locality, state, zip code, etc. By assigning relevant classes to these components, we can accurately identify & extract key information from addresses.
For OTT Tagging, our team identifies keywords on a platform, verifying their presence & extracting relevant details like title, episode, actor, genre, sports & gibberish. This process enhances content discovery & organisation within the platform.
In Image Captioning projects, our team generates concise, subjective image captions in 20 words that describe the visual content. This approach enhances accessibility for visually impaired individuals, providing them with meaningful descriptions of images.
In Speech Recognition For Voice Assistant Model, our team helps in training the model by transcribing audio files while considering grammar & context, enabling the extraction of pertinent information for improved accuracy in recognition.
For Speech To Text For Customer Services, our team carefully transcribes audio files from diverse customer service departments, ensuring grammatical accuracy. We categorise various elements like background noise, incomplete words, foreign language & disfluencies to enhance speech recognition capabilities.