{"id":24422,"date":"2024-09-20T11:49:07","date_gmt":"2024-09-20T06:19:07","guid":{"rendered":"https:\/\/udaen.info\/?p=24422"},"modified":"2024-09-20T11:49:09","modified_gmt":"2024-09-20T06:19:09","slug":"indias-first-fashion-forecasting-initiative-visionxt","status":"publish","type":"post","link":"https:\/\/udaen.info\/?p=24422","title":{"rendered":"India\u2019s First Fashion Forecasting Initiative \u2018VisioNxt\u2019"},"content":{"rendered":"\n<p><br>(Ministry of Textile)<br><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><a href=\"https:\/\/static.pib.gov.in\/WriteReadData\/specificdocs\/documents\/2024\/sep\/doc2024919397601.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">\u092d\u093e\u0930\u0924 \u0915\u0940 \u092a\u0939\u0932\u0940 \u092b\u0948\u0936\u0928 \u092a\u0942\u0930\u094d\u0935\u093e\u0928\u0941\u092e\u093e\u0928 \u092a\u0939\u0932 &#8216;\u0935\u093f\u091c\u093c\u0928 \u0928\u0947\u0915\u094d\u0938\u094d\u091f&#8217;<\/a><br>VisioNxt is a Fashion Forecasting Initiative of the National Institute of Fashion Technology<br>(NIFT). It aims to foster healthy global competition and elevate Indian culture and design to new<br>heights globally. The fashion industry will benefit from the Artificial Intelligence (AI) and<br>Emotional Intelligence (EI)- based trend insights offered by VisioNxt.<br>Its mission is to identify, map, and analyse geo-specific trends, reflecting India&#8217;s positive plurality,<br>cultural diversity, and socio-economic nuances while collating comprehensive trends and insights.<br>Launch of VisioNxt Fashion Forecasting Initiative<br>Union Minister of<br>Textiles Shri Giriraj<br>Singh launched<br>VisioNxt, a bilingual<br>web portal, and Indiaspecific Fashion Trend<br>Book Paridhi 24&#215;25 on<br>September 5, 2024.<br>Collaboration between Ministry of Textile and NIFT<br>VisioNxt\u2014a Trend Insights and Forecasting Initiative\u2014was conceived and established at NIFT<br>Delhi (Creative Lab) and NIFT Chennai (Insights Lab) with the support of the Ministry of<br>Textiles, Government of India, in 2018. The initiative, now centralised in Chennai, focuses on<br>delivering trend insights and forecasting for the Indian fashion and retail market. It also offers<br>various trend related consultancy services, academic courses, workshops etc.<br>Objective of VisioNxt<\/p>\n\n\n\n<ul>\n<li>VisioNxt initiative will foster healthy global competition and elevate Indian culture and design<br>to new heights globally.<\/li>\n\n\n\n<li>India&#8217;s entry into the forecasting space offers multiple advantages: it reduces dependence on<br>global forecasting agencies, provides unique insights into Indian fashion consumers,<br>integrates India\u2019s strength in information technology with textiles, and combines artificial and<br>human intelligence.<\/li>\n\n\n\n<li>Content in Hindi and English is available through the VisioNxt portal (www.visionxt.in) to<br>support weavers, manufacturers, retailers, domestic businesses, homegrown designers, and<br>fashion brands.<\/li>\n\n\n\n<li>The initiative empowers users to design, produce, and launch consumer-focused, targeted<br>collections for this diverse nation. \u2018Paridhi will mark the launch of VisioNxt&#8217;s first inclusive<br>fashion trend forecast and a web portal to disseminate India-specific fashion trends.<\/li>\n\n\n\n<li>VisioNxt positions India globally among countries that predict fashion trends, increasing the<br>visibility of Indian fashion vocabulary and identity while reducing dependence on<br>international trend agencies.<br>VisioNxt Overview: Key Points<\/li>\n<\/ul>\n\n\n\n<ol>\n<li>Cultural Diversity and Fashion Insights: VisioNxt focuses on India&#8217;s vast cultural<br>plurality, which includes 22 official languages, 121 languages, 270 mother tongues, and<br>numerous tribes and religions. This diversity is a rich foundation for understanding fashion<br>consumption and human expression, creating insights tailored to the Indian textile, fashion,<br>and retail industries.<\/li>\n\n\n\n<li>Youth Demographic Impact: With over 62% of its population in the working age group<br>and more than 54% below 25 years old, India\u2019s young demographic significantly influences<br>lifestyle and fashion trends. VisioNxt aims to map this emerging cohort&#8217;s preferences to<br>develop targeted industry strategies.<\/li>\n\n\n\n<li>Operational Framework: VisioNxt operates from two main hubs\u2014Chennai and New<br>Delhi. The Insights Lab in Chennai gathers data, while the Creative Lab in Delhi translates<br>these insights into innovative fashion trends, styles, and regional accents, ensuring a<br>comprehensive approach to trend forecasting.<\/li>\n\n\n\n<li>Technology and Data Security: The organisation employs a systematic human network<br>across India, supported by the in-house developed VisioNxt app, which ensures data<br>security and ethical accessibility. This infrastructure facilitates sharing and collaborating<br>on real-time insights.<\/li>\n\n\n\n<li>Strategic Partnerships and Innovations: Funded by the Ministry of Textiles,<br>Government of India, and based at the National Institute of Fashion Technology (NIFT),<br>VisioNxt leverages its extensive network of 18 campuses and a robust alumni base. The<br>lab has developed \u2018Deep Vision,\u2019 an indigenous trend forecasting system that combines<br>Artificial Intelligence (AI) and Emotional Intelligence (EI) to generate actionable insights<br>for the fashion industry.<br>VisioNxt 6 Pillars<br>The VisioNxt spotters are trained using a distinct training module called \u201cTrendOrb\u201d, which<br>stands on 6 pillars of learning, namely &#8211; Scan, Capture, Map, Cluster, Analyse and Present, in that<br>very order, respectively. This rigorous training process enables the trend spotters to see through a<br>clutter of endless visual cues and submit novel observations and findings. The continuous dialogue<br>in our private social network channels ensures that \u2018hype\u2019 is segregated from \u2018directions\u2019 and map<br>\u2018shifts\u2019 not only in fashion but also in the cultural and psychological space we operate in. Big data<br>and \u201cDeepVision\u201d help to process this enormous amount of information on a daily basis into<br>specific, ever-evolving dynamic trend clusters.<br>How VisioNxt Works<br>VisioNxt employs a hybrid model to map emerging trends and forecasts using an advanced<br>deep learning system called &#8220;DeepVision.&#8221; This model is built on a rich dataset comprising over<br>54,000 primary and 33,000 secondary images. Successfully tested, it features a pioneering Indian<br>fashion-wear taxonomy curated in-house, encompassing more than 60 indigenous and 40 western<br>product categories.<br>The &#8220;DeepVision&#8221; model decodes patterns and interprets fashion trends in India by<br>identifying specific product attributes\u2014such as distinguishing between a Kurta and a Kurti,<br>recognizing colors like red or yellow, and noting styles that are plain or striped, short or long.<br>Utilizing convolutional neural network architecture at VisioNxt&#8217;s Insights Lab, these insights are<br>transformed into comprehensive reports with design and color recommendations.<br>As a groundbreaking AI deep learning model developed in-house, &#8220;DeepVision&#8221; accurately<br>identifies over 60 categories of Indian wear and 40 categories of western wear, paving the way for<br>machine learning applications\u2014a first in India. The initiative also includes the creation of a detailed<br>dataset featuring more than 70,000 primary apparel images and over 280,000 secondary images,<br>allowing for the analysis of key apparel attributes such as style, color, and regional influences.<br>VisioNxt stands out as the only trend insights research lab in India to gather this extensive data<br>through a network of over 800 trained trend spotters across 16 cities. These spotters capture not just<br>the mood and spirit of everyday life but also emerging product details and DIY trends via a unique<br>ethical image collection platform.<br>Trend Book &#8211; PARIDHI 24&#215;25<br>&#8220;PARIDHI&#8221; represents a groundbreaking milestone in India&#8217;s fashion and cultural landscape,<br>emerging as the country&#8217;s first-ever trend book. This publication is not just a compilation of<br>trends; it offers a distinctive and profound perspective on the dynamic Indian cultural landscape and<br>the evolving mindset of its people. It challenges traditional boundaries, both literal and<br>metaphorical, encouraging readers and creators alike to introspect, explore, and transcend beyond<br>conventional limits. It invites its audience to explore the infinite possibilities that lie both within<br>and beyond their current understanding of culture, fashion, and identity. This exploration is<br>not just about physical or geographical boundaries but also about pushing the boundaries of thought,<br>creativity, and expression.<br>PARIDHI: Facilitating Weavers, Artisans and Craftspeople<br>Designing from Inspiration<\/li>\n<\/ol>\n\n\n\n<ul>\n<li>Examine the Images and Keywords given in the narrative. Identify the key visual elements<br>from a foundational perspective. Analyse lines, considering their nature (straight,<br>curvilinear, squiggly).<\/li>\n\n\n\n<li>Identify prominent shapes such as circles, squares, triangles, etc.<\/li>\n\n\n\n<li>Evaluate texture, discerning between rough or soft, sheer or opaque<\/li>\n\n\n\n<li>Explore the emotional tone conveyed and its calming or evocative nature<\/li>\n\n\n\n<li>Note the suggestive and prominent colours<\/li>\n\n\n\n<li>Translate a chosen keyword into a visual representation<\/li>\n\n\n\n<li>Pose questions like, What does (keyword) look like in the context of the craft?<\/li>\n\n\n\n<li>Apply Elements to the Crafts or Weaver<br>References<\/li>\n\n\n\n<li>https:\/\/pib.gov.in\/PressReleseDetail.aspx?PRID=2052272#:~:text=Shri%20Giriraj%20Singh<br>%20said%20that,global%20stage%2C%20Shri%20Singh%20said.<\/li>\n\n\n\n<li>https:\/\/www.visionxt.in\/insights<\/li>\n\n\n\n<li>https:\/\/www.visionxt.in\/uploads\/English_TrendBook_Paridhi24X25.pdf<\/li>\n\n\n\n<li>Home | NIFT<\/li>\n\n\n\n<li>https:\/\/pib.gov.in\/PressReleaseIframePage.aspx?PRID=2020101<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>(Ministry of Textile) \u092d\u093e\u0930\u0924 \u0915\u0940 \u092a\u0939\u0932\u0940 \u092b\u0948\u0936\u0928 \u092a\u0942\u0930\u094d\u0935\u093e\u0928\u0941\u092e\u093e\u0928 \u092a\u0939\u0932 &#8216;\u0935\u093f\u091c\u093c\u0928 \u0928\u0947\u0915\u094d\u0938\u094d\u091f&#8217;VisioNxt is a Fashion Forecasting Initiative of the National Institute of Fashion Technology(NIFT). It aims to foster healthy global competition and elevate Indian culture and design to newheights globally. The fashion industry will benefit from the Artificial Intelligence (AI) andEmotional Intelligence (EI)- based trend insights [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[132,227],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/udaen.info\/index.php?rest_route=\/wp\/v2\/posts\/24422"}],"collection":[{"href":"https:\/\/udaen.info\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/udaen.info\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/udaen.info\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/udaen.info\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24422"}],"version-history":[{"count":1,"href":"https:\/\/udaen.info\/index.php?rest_route=\/wp\/v2\/posts\/24422\/revisions"}],"predecessor-version":[{"id":24423,"href":"https:\/\/udaen.info\/index.php?rest_route=\/wp\/v2\/posts\/24422\/revisions\/24423"}],"wp:attachment":[{"href":"https:\/\/udaen.info\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24422"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/udaen.info\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24422"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/udaen.info\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}