G20 Dinner: International Delegates Flaunt Indian Outfits, Japan First Woman Dons A Saree

G20 Dinner: International Delegates Flaunt Indian Outfits, Japan First Woman Dons A Saree

New Delhi: A number of outstanding overseas friends, together with the spouse of Japanese Prime Minister Fumio Kishida, Yuko Kishida, and IMF chief Kristalina Georgieva, wore conventional Indian garments on the G-20 Dinner hosted by President Droupadi Murmu on Saturday evening. The friends had been dressed elegantly for the particular occasion. Many selected to undertake Indian model in distinctive methods.

IMF Chief Georgieva reached Bharat Mandapam in Delhi for the G-20 Dinner in a purple ethnic swimsuit that she matched with a golden dupatta. She appeared gorgeous in Indian apparel. Yuko Kishida, the spouse of Japanese PM Fumio Kishida, wore a stunning inexperienced saree. She complemented her outfit with a pink shirt.

South African President Cyril Ramaphosa’s spouse Tshepo Motsepe donned an Indo-western outfit. She tied her hair in a bun and accessorised it with a gajra. Prime Minister of Mauritius Pravind Kumar got here for the dinner in a black bandhgala swimsuit. His spouse Kobita Jugnauth appeared attractive in a saree.

Sheikh Hasina, Prime Minister of Bangladesh, exuded ethnic attraction in a saree teamed with a pearl necklace.

UK Prime Minister Rishi Sunak’s spouse Akshata Murty added a conventional contact to her trendy outfit. 

Earlier than the beginning of the dinner, President Droupadi Murmu and Prime Minister Narendra Modi warmly welcomed world leaders at a dias, set towards a backdrop depicting the ruins of the Nalanda College in Bihar and India’s G20 presidency theme — ‘Vasudhaiva Kutumbakam – One Earth, One Household, One Future’.

PM Modi wore a white kurta and churidar. He elevated his look with a blue V-neck striped jacket. President Murmu donned a conventional beige saree with a contrasting turquoise border. Previous to the dinner, PM Modi met world leaders on the inaugural session of the two-day G20 Summi




Supply by [author_name]