Rachit Jain

The HR function plays a crucial role in the success of an organization, as it is responsible for managing the company's most valuable resource - its people. However, numerous challenges in today's rapidly changing business environment have reconfigured strategic people priorities. Concerns around diversity and inclusion, employee engagement and well-being, skill-based hiring, ESG, re-designing of work, etc. have assumed greater importance. With the rise of remote work and the use of digital… Show more

The HR function plays a crucial role in the success of an organization, as it is responsible for managing the company's most valuable resource - its people. However, numerous challenges in today's rapidly changing business environment have reconfigured strategic people priorities. Concerns around diversity and inclusion, employee engagement and well-being, skill-based hiring, ESG, re-designing of work, etc. have assumed greater importance. With the rise of remote work and the use of digital tools, it has also become imperative to implement innovative technologies and processes to streamline hiring, onboarding, and performance management. So, as businesses continue to evolve and face new challenges, what role will HR play in shaping the future of work and driving organizational success? Complimenting this idea with research and surveys, the CHRO Huddle, organized by the National HRD Network on 10th February 2023, tried to solve this conundrum. Our white paper captures the same. Show less

Visual impairment hampers an individual’s quotidian routine, diminishing the standard of life and interaction with the immediate environment. Moreover, people leveraging conventional canes face manifold challenges while commuting. This problem gets compounded when people need to access their mobile phones simultaneously. Thus, to ameliorate their experience, we excogitate a cost-effective device named, “Blindophile”, meaning Blind lover, to make mobile phone accessibility effortless. Serving as… Show more

Visual impairment hampers an individual’s quotidian routine, diminishing the standard of life and interaction with the immediate environment. Moreover, people leveraging conventional canes face manifold challenges while commuting. This problem gets compounded when people need to access their mobile phones simultaneously. Thus, to ameliorate their experience, we excogitate a cost-effective device named, “Blindophile”, meaning Blind lover, to make mobile phone accessibility effortless. Serving as a ubiquitous input device, Blindophile enables the visually impaired people to trigger the desired event on their mobile phone by performing gestures. Coupled with easy adaptability and recharging capabilities, Blindophile boasts of a hands-free mode to access mobile phones. With a paramount focus on design and accuracy, we also re-engineered a machine-learning algorithm to accomplish various functions of the mobile phone efficiently. Show less

Image captioning remains a conundrum as it not only focuses on extraction of the visual semantics of a given image but also on combination techniques from the domain of natural language processing. Various models capable of captioning an image using the semantic features and the style of the text corpus are unable to combine the visual semantics of two different images being fed simultaneously. We propose a novel methodology wherein multiple images sharing similar context can be used to… Show more

Image captioning remains a conundrum as it not only focuses on extraction of the visual semantics of a given image but also on combination techniques from the domain of natural language processing. Various models capable of captioning an image using the semantic features and the style of the text corpus are unable to combine the visual semantics of two different images being fed simultaneously. We propose a novel methodology wherein multiple images sharing similar context can be used to generate a single story/caption. Our alignment model is based on a novel combination of Convolutional Neural Networks over image regions, bidirectional Recurrent Neural Networks over sentences, and a structured objective that aligns the two modalities through multimodal embedding. We, then describe a Multimodal Recurrent Neural Network architecture that uses the inferred alignments to learn to generate novel descriptions of image regions. The paper encompasses on extracting the visual semantics using existing deep learning architecture followed by a pipeline of NLP model of skip thought vectors. This can be further used along with a matrix of TF-IDF values based on the text corpus extracted from various books. Show less