Skip to main content

Kashyap enters pre-quarters - London Olympics





My next hope Kashyap win the medal , then saina nehwal


Parupalli Kashyap kept Indian hopes for an Olympic medal alive in badminton as he entered the London Olympics men's singles pre-quarterfinals in style, outplaying tenth seeded Vietnamese Tien Minh Nguyen in straight games on Tuesday.

The Indian displayed sublime skills to defeat his higher ranked opponent 21-9, 21-14 in 39 minutes at the Wembley Arena and topped Group D.

With the win, Kashyap equalled his head-to-head record against Nguyen to 3-3. Prior to the match, he had not beaten the Vietnamese since June 2010.

The first game started with a neck-and-neck fight as neither player could hold serve as the score read 6-5 in favour of Kashyap.

The 25-year-old Indian found legs and started extending his lead with the help of some exquisite drop shots and in no time went ahead 16-7. Aided by some good smashes, he gained an 11-point advantage at 20-9 before sealing the game.

In the second game, Nguyen put up a better show early on as the scoreboard read 7-7.

Like in the first game, Kashyap with his fast court movement and effective smashes started dominating the World No.11 and took a lead of 18-12 from where there was no looking back and won the game in 19 minutes.


Throughout the match, the World No.21 was impressive at the net and steady from the back, hitting a mix of shots which befuddled his Vietnamese opponent.

The Indian will next face Group C topper Sri Lankan Niluka Karunaratne, whom Kashyap had beaten in Stockholm earlier this year in their only encounter.

Comments

Popular posts from this blog

From Kitchen to Customer – AI in Every Step of Catering

🍽️ How AI Helps the Catering Department – A Complete Guide Artificial Intelligence is transforming the food and catering industry by automating tasks, reducing waste, and improving customer experience. Here's how AI supports catering businesses: ✅ 1. Smart Menu Planning AI tools analyze: Past customer preferences Seasonal trends Dietary restrictions to recommend the best menu combinations. 📌 Example: For a wedding, AI might suggest more vegetarian dishes based on region and guest profile. ✅ 2. Intelligent Inventory Management AI systems monitor ingredient usage and automatically: Track stock levels Alert for shortages Prevent overbuying or food waste 📌 Example: If you're preparing for 300 guests, AI calculates the exact amount of vegetables, spices, etc., saving money. ✅ 3. 24/7 Customer Support via AI Chatbots AI chatbots on WhatsApp, website, or Facebook can: Share package details Take basic orders Answer frequently asked questio...

Artificial Intelligence (AI) is revolutionizing the dress manufacturing industry

 Artificial Intelligence (AI) is revolutionizing the dress manufacturing industry by enhancing various aspects of the process. Here are some ways AI is being utilized in dress manufacturing: ### 1. **Design and Pattern Making** AI-powered software can analyze fashion trends, consumer preferences, and historical data to generate new designs and patterns. Tools like Adobe's AI design assistant or platforms like CLO 3D can help designers create virtual prototypes, reducing the need for physical samples. ### 2. **Fabric Selection and Optimization** AI algorithms can analyze different types of fabrics and their properties to recommend the best materials for specific designs. This can improve the quality and functionality of the garments while minimizing waste. ### 3. **Custom Tailoring and Fit** Body scanning technology combined with AI can create custom-fit clothing. Platforms like MTailor use AI to take precise measurements via smartphone apps, ensuring perfect fit without the need f...

AI has significantly impacted the real estate industry

 AI has significantly impacted the real estate industry in several ways, transforming how properties are bought, sold, and managed. Here are some key contributions of AI in real estate: 1. **Property Valuation and Pricing:**    - **Automated Valuation Models (AVMs):** AI algorithms analyze various data points (location, size, age, condition, market trends) to estimate property values more accurately than traditional methods.    - **Dynamic Pricing:** AI can adjust property prices in real-time based on market demand, competition, and other factors, ensuring competitive and fair pricing. 2. **Enhanced Property Search:**    - **Personalized Recommendations:** AI-driven platforms can recommend properties to buyers and renters based on their preferences and search history.    - **Virtual Tours and Augmented Reality (AR):** AI enables virtual tours and AR experiences, allowing potential buyers to explore properties remotely and make informed decisi...