Disclaimer



Disclaimer

Last Updated: May 14, 2026 

Welcome to Pravind Tech (pravindtech.com). This Disclaimer governs your use of our website. 

 1. General Information Only The information provided on this website is for general informational and educational purposes only. All content is created in good faith and intended to help users with technology, online services, tutorials, and informational guides. 

 2. No Professional Advice The content on this website does not constitute legal, financial, medical, tax, or professional advice. You should not rely solely on any information on this site as a substitute for professional advice. Always seek the advice of qualified professionals regarding any specific situation or problem. 

 3. Accuracy of Information While we strive to keep the information accurate and up-to-date, we make no representations or warranties of any kind, express or implied, about the completeness, reliability, accuracy, or availability of any information on this website. Any action you take based on the information found on this website is strictly at your own risk. We will not be liable for any losses or damages in connection with the use of our website. 

 4. External Links Disclaimer Our website may contain links to third-party websites or services. We do not control, endorse, or guarantee the accuracy, relevance, or reliability of information on those external websites. Once you leave our website, we are not responsible for the content or privacy practices of other sites. 

 5. Google AdSense & Advertising This website may display advertisements provided by Google AdSense and other third-party advertising partners. These ads may use cookies and tracking technologies to serve personalized advertisements based on your browsing behavior. For more information, please refer to our Privacy Policy. 

 6. Affiliate Disclosure (Optional - But Recommended) [If you use affiliate links like Amazon, Flipkart, etc., add this paragraph:] *"Some links on this website may be affiliate links. This means if you click on the link and make a purchase, we may earn a small commission at no additional cost to you. We only recommend products or services we genuinely believe will add value to our readers."

7. Limitation of Liability To the fullest extent permitted by law, Pravind Tech shall not be held liable for any direct, indirect, incidental, consequential, or punitive damages arising out of your access to or use of this website.

 8. Changes to This Disclaimer We reserve the right to update, amend, or modify this Disclaimer at any time without prior notice. Any changes will be posted on this page with an updated revision date. 

9. Your Consent By using our website, you hereby consent to this Disclaimer and agree to its terms.

10. Contact Us If you have any questions regarding this Disclaimer, please contact us

at: Email: pravindtechbusiness@gmail.com Website: https://pravindtech.com

Comments

Post a Comment

Popular posts from this blog

Motu Patlu AI Video Trend: Kaise Banaye Viral Reels Aur Shorts? (Complete Guide 2026)

Image
Motu Patlu AI Video Trend: Kaise Banaye Viral Reels Aur Shorts? (Complete Guide 2026) Introduction Aaj ke samay mein Artificial Intelligence (AI) content creation ki duniya ko tezi se badal raha hai. Instagram Reels, YouTube Shorts aur Facebook Reels par har din naye trends dekhne ko milte hain. Inhi trends mein ek trend bahut tezi se viral hua hai – Motu Patlu AI Video Trend. Aapne bhi social media par aisi videos dekhi hongi jahan Motu aur Patlu kisi gaon, city, school, college, shop ya studio mein pahunch jate hain aur funny style mein baat karte hain. In videos ko lakhon views mil rahe hain kyunki log apne area, apne business aur apne brand ko is trend ke saath connect kar rahe hain. Agar aap bhi content creator, blogger ya business owner hain to ye trend aapke liye bahut faydemand ho sakta hai. Is article mein hum jaanenge: Motu Patlu AI Trend kya hai? Ye itna viral kyu ho raha hai? Is trend se website ya business promote kaise kare? Best AI prompts Viral reel ideas Im...
Read more

1980s AI Photo Trend: अपनी Photo को बनाएं 80s Retro Bollywood Look में — 5 Best AI Prompts

Image
1980s AI Photo Trend: अपनी Photo को बनाएं 80s Retro Bollywood Look में — 5 Best AI Prompts अगर आप Instagram या सोशल मीडिया इस्तेमाल करते हैं, तो आपने इन दिनों 1980s Retro AI Photo Trend जरूर देखा होगा। लोग अपनी normal photos को AI की मदद से ऐसा बना रहे हैं जैसे उनकी तस्वीर 1980 के दशक में किसी Bollywood film, पुराने studio या family album में खींची गई हो। इस trend में सिर्फ photo पर पुराना filter नहीं लगाया जाता, बल्कि AI आपकी clothing, hairstyle, background, lighting और overall photography style को 1980s के हिसाब से recreate करता है। और सबसे अच्छी बात यह है कि इसके लिए आपको professional photo editing की जरूरत नहीं है। इस article में Pravind Tech आपके लिए 5 अलग-अलग 1980s AI photo prompts लेकर आया है, जिन्हें आप copy करके अपनी photo के साथ इस्तेमाल कर सकते हैं। 🔥 1980s AI Photo Trend क्या है? 1980s AI Photo Trend में आपकी current photo को AI की मदद से पुराने जमाने की तस्वीर जैसा बनाया जाता है। इसमें आमतौर पर: 1980s Bollywood fashion Retro hairstyle Vintage In...
Read more

Top 50+ Quality Engineer Interview Questions & Detailed Answers (Fresher to Experienced)

Image
📖 Quality Engineer Interview Questions & Answers (Detailed Guide) 👤 परिचय Quality Engineer का role किसी भी manufacturing industry में बहुत महत्वपूर्ण होता है, खासकर automotive sector में जहाँ product quality directly customer safety से जुड़ी होती है। Interview के दौरान सिर्फ definitions याद होना काफी नहीं होता, बल्कि आपको concepts को practically समझना और explain करना आना चाहिए। इस article में हम 50+ important questions को detail explanation के साथ समझेंगे, जिससे आप interview में confidently answer दे सकें। 🔹 Basic Concepts (Detail Explanation) ❓ Q1: Quality क्या है? 👉 Answer (Detail): Quality का मतलब केवल defect-free product बनाना नहीं है, बल्कि customer की requirement को पूरी तरह fulfill करना है। अगर कोई product customer की expectation के अनुसार perform करता है, durable है और reliable है, तो उसे high quality माना जाता है। Quality तीन चीजों पर depend करती है: Performance (product कैसे काम करता है) Reliability (कितने समय तक सही काम करता है) Customer satisfaction.. ❓ ...
Read more