Keeping the demand of Infotainment programs, the media houses started producing news magazines, entertainment magazines and news programs for different channels. Within a short span of time news journalism became so popular in Kerala and now more and more media houses were planning to setup their news channels in the state. By several measures news channels has come to realize the potential for news broadcasting. Each network has dramatically expanded their news programming over the decades and TV news producers take great pains to make their stories visually appealing to present news instantaneously and to make viewers feel they are a part of the events shown. New computerized graphical techniques present technical and statistical data in compelling formats. Broadcast organizations routinely conduct researches to keep up to date on what audiences preferences about the news and continuous feedback also make television an ideal medium to satisfy the demands of the people. In addition to the presentation of more news in more technically advanced formats, there's an audience presumably better able to understand news. Thus the study will find out the characteristics and preferences of news viewing population in Kerala.
Keeping the demand of Infotainment programs, the media houses started producing news magazines, entertainment magazines and news programs for different channels. Within a short span of time news journalism became so popular in Kerala and now more and more media houses were planning to setup their news channels in the state. By several measures news channels has come to realize the potential for news broadcasting. Each network has dramatically expanded their news programming over the decades and TV news producers take great pains to make their stories visually appealing to present news instantaneously and to make viewers feel they are a part of the events shown. New computerized graphical techniques present technical and statistical data in compelling formats.
Patent Number: 202141024018, Applicant: Dr. M. Kasiselvanathan.
In this era, navigation continues to be a vital component in both outdoor and indoor environments, and many solutions have been given in both cases. Usually GPS is used for navigation, but in an indoor or underground environment, its signal is almost never available. In this work, we used LiDAR (Light Detection And Ranging) sensor and IMU sensor. LIDAR sensor is a famous remote sensing strategy utilized for estimating the specific distance of an item on the world's surface.
As healthcare systems evolve to become more digital, an enormous volume of medical data is available in various formats, including unstructured data, scanned documents, handwritten prescriptions, diagnostic images, audio transcriptions, and clinical video recordings. The complexity and unorganised form of data continue to pose serious challenges with regard to automation, accuracy, and consistency in healthcare and insurance businesses. This study introduces an AI-based multimodal framework that incorporates the use of Optical Character Recognition (OCR), the MiniCPMV-4.5 model, and Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs) to enhance the intelligent processing and contextual comprehension of intricate medical data, thus overcoming these limitations. It applies OCR to scanned images and handwritten documents to precisely recover the textual information from them and uses domain-specific named entity recognition (NER) to recognize significant medical information, e.g., patient information, diagnoses, procedures, and financial information. The extracted information is then converted to vector embeddings and stored in a powerful vector database, Milvus, that enables fast and efficient semantic search as well as context-sensitive reasoning. The proposed framework, along with the visual and auditory inputs, video understanding, multilingual capacity, and the S2S (speech-to-speech) and TTS (text-to-speech) translation, makes it more accessible and engaging to the user. This system reduces the level of human involvement and provides real-time insights quickly and more precisely so that more efficient decisions and operations can be made in the fields of healthcare and insurance. 2025 IEEE.
