Shri Giriraj Singh, Union Minister of Textiles, unveiled the 'VisioNxt Fashion Forecasting Initiative' developed by the National Institute of Fashion Technology (NIFT) as an important move to strengthen India's standing in the global fashion business. This inauguration event, which included the launching of a bilingual online portal and the India-specific Fashion Trend Book 'Paridhi 24×25', is a watershed moment in India's fashion and textile sector.
The Launch Event
Key Attendees
Shri Giriraj Singh, Union Minister for Textiles
Shri Pabitra Margherita, the Union Minister of State for Textiles and External Affairs
Smt. Rachna Shah, Textile Secretary.
Ministerial Address
In his speech, Shri Giriraj Singh emphasized that the VisioNxt project is the product of Prime Minister Narendra Modi's visionary leadership. He discussed how, since 2014, India has prioritized local design and manufacture, with VisioNxt being a direct result of this strategy shift.
VisioNxt, A Game Changer In Fashion Forecasting
Objectives and Impact
Promote healthy global competition.
Promote Indian culture and design on the world stage.
Provide trend insights based on AI and Emotional Intelligence.
Make India a leader in the global fashion business.
Origins Of VisioNxt
VisioNxt began at the Global Textile Summit in 2017, when Prime Minister Modi emphasized the need for India-specific real-time trend analytics. This acknowledgment prompted the foundation of VisioNxt in 2018, which was backed by the Ministry of Textiles.
Key Features
Centralized in Chennai.
Focused on trend research and predictions for the Indian fashion and retail market.
Provides trend-related consulting services, academic courses, and workshops.
Fashion Forecasting: Technological Innovation And DeepVision's Unique Prediction Model
Decode and understand fashion trends in India.
Identify product details, such as Kurta vs. Kurti, color, pattern, and length.
Use the convolutional neural network architecture.
AI and Machine Learning Integration
pioneering AI deep learning algorithm developed in-house.
Identifies more than 60 Indian and 40 Western dress categories.
Uses a dataset of 70,000+ primary clothing photos and 280,000+ secondary image data.
Benefits and Implications
For the Indian Fashion Industry
Reduces reliance on global forecasting agencies.
Offers unique insights into Indian fashion customers.
Integrates India's IT strengths with textiles.
combines artificial and human intelligence.
For stakeholders
Supports
Weavers
Manufacturers
Retailers
Domestic enterprises.
Homegrown designers
Fashion labels
Accessibility
Accessible in Hindi and English via the VisioNxt platform.
Enables users to design, manufacture, and launch targeted collections.
Global Positioning
India's Entry in Fashion Forecasting
India ranks among countries that predict fashion trends.
Enhances visibility of Indian fashion vocabulary and identity.
Reduces reliance on foreign trend agencies.
The Paridhi Trend Book's
Significance
'Paridhi' represents VisioNxt's first inclusive fashion trend forecast, which is complemented with a web page for sharing India-specific fashion trends.
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