IDT sets the stage for Fashion Innovation. Fashionova-2023 showcases AI-generated prints and unveils India’s first AI-powered fashion designing course.

Surat (Gujarat) [India]Students from the Institute of Design and Technology, a leading design and technology institution in Surat’s Textile City, presented the first ever fashion show IDFL “Fashionova-2023” in Surat. The students displayed a variety of garments and a sequence that was specifically designed using Artificial Intelligence generated prints.

Fashionova-2023 was inaugurated at the Platinum Hall in the Surat International Exhibition and Convention Centre, Sarsana by the Chief Guest Smt. Darshna Jadosh, Union Minister of State of Textiles and Guest of Honor Shri Rajiv Saxena, Joint Secretary of the Ministry of Textiles of Government of India, graced this event. IDT organized an event in conjunction with a fashion show on ”Impact of AI for the Textile and Garment Industries of Surat”. The panel included eminent speakers Mr. Ashok Goyal, Chairman-IDT, Rahul Mehta, Chief Mentor of CMAI (Kuldeep Sainani, Director, Alliance Fibres Ltd.), Dr. Ajoy Battacharya, Regional Chairman of CMAI (Moderator), Mr. Narendra Kumar, Creative Director @ Zapero AI, Krishna Puttagunta, CEO, Zapero AI, Sanjaya Yadav, Head Of Sourcing

Darshana Jadosh & Rajiv Saxena, Ministers of the State and Union Governments commended IDT’s efforts and applauded their planning meticulousness and vision.

IDT has announced India’s First AI Fashion Design Course. IDT, well known for innovation and its progressive approach, is committed to remaining at the forefront in the industry.

Anupam Goyal (IDT) and Ankita Goyal (IDT) expressed their delight at the event. The fashion show showcased a collection of garments designed on a special bridal theme show featuring pre-wedding and post–wedding collections curated by the students guided and led by IDT’s Official Mentor, Mr. Narendra Kumar, for 2023 and the collection was minutely judged, evaluated and assessed by the esteemed 3-panel members, guided by Dr. Bandana Bhattacharrya. The jury consisted of MS. Sangeeta Choksi (Fashion Designers), Ms. Madhavi Mahauvagara and Ms. Seema Kalavadiya (Industry Fashion Designers), Ms. Parishi Shar, Ms. Srishti Tawani, Mr. Niraj Vaidya (Fashion Influencers) as well as Ms. Jagdishpurohit, Mrs. Vanita Rawat (F

Artificial intelligence is making inroads into various industries, including the textile and clothing industry. IDT recognized this and held the Fashionova-2023 annual fashion event, which featured garments created with AI. It was also used as a forum for a conclave where the topic of AI’s influence on Surat’s textile and apparel industries was discussed. The hall burst into applause when models walked down the runway wearing the AI-driven creations. Zapero was present at the event, an AI clothing company that has used AI to train children. Narendra Kumra’s Pure Collection, which was led by the designer, brought a creative and innovative touch to fashion. “Fashionova-2023 demonstrated the incredible potential that AI has to transform the textiles and garment industry. Anupam Ghoyal said, “By incorporating AI to design processes, Surat’s Fashion Landscape can see unprecedented growth and efficiency. It will also enhance creativity. This ensures a bright future for this industry.”

IDT presents IDFL Fashionova-2023 Powered By Alliance Fibres Ltd. Supported by CMAI, SGCCI, Saket Group of Industries and Saurashtra Textile Traders Association. Co-sponsored by Surat Textile Bourse and GM Diamond Group. Sponsored by Sarjan Position Printing Machine and Laxmipati Sarees. Primex Media Service PVT. Ltd., was an associate partner. LTD. VLCC Khushi ambient Media Solutions Navjivan Luxury Car Auto Partner Kem Chho Surat Social Media partner Kem Chho Surat. We are grateful to our generous sponsors and partners for making this event a success. Thank you for believing in us and your dedication. You are a vital part of our mission.

Visit www.idt.ac.in for more details.

This story is not edited by Devdiscourse and was generated automatically from a syndicated news feed.

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