Want to build your own peer-to-peer video chat app? WebRTC is a technology that creates a realtime connection between browsers where users can exchange audio/video streams https://fireship.io/lessons/webrtc-firebase-video-chat/ 00:00 WebRTC Explained 02:01 Build your own Video Chat 3:37 Code setup 04:34 Peer Connection & Webcam 06:49 Offer Signaling 09:45 Answer Signaling Source Code https://github.com/fireship-io/webrtc-firebase-demo Useful Resources WebRTC Docs https://webrtc.org/ Codelab https://webrtc.org/getting-started/firebase-rtc-codelab Signaling https://developer.mozilla.org/en-US/docs/Web/API/WebRTC_API/Signaling_and_video_calling #webdev #js #100SecondsOfCode Install the quiz app 🤓 iOS https://itunes.apple.com/us/app/fireship/id1462592372?mt=8 Android https://play.google.com/store/apps/details?id=io.fireship.quizapp Upgrade to Fireship PRO at https://fireship.io/pro Use code lORhwXd2 for 25% off your first payment. My VS Code Theme – Atom One Dark – vscode-icons – Fira Code Font
In this video, we will learn How to extract text from a pdf file in python NLP. Natural Language Processing (NLP) is the field of Artificial Intelligence, where we analyse text using machine learning models. Text Classification, Spam Filters, Voice text messaging, Sentiment analysis, Spell or grammar check, Chatbot, Search Suggestion, Search Autocorrect, Automatic Review, Analysis system, Machine translation are the applications of NLP. This notebook demonstrates the extraction of text from PDF files using python packages. Extracting text from PDFs is an easy but useful task as it is needed to do further analysis of the text. We are going to use PyPDF2 for extracting text. You can download it by running the command given below. We have used the file NLP .pdf in this notebook. The open() function opens a file and returns it as a file object. rb opens the file for reading in binary mode. 🔊 Watch till last for a detailed description 02:43 Importing the libraries 06:21 Reading and extracting the data 09:17 Append write or merge PDFs 13:20 Analysing the output 👇👇👇👇👇👇👇👇👇👇👇👇👇👇 ✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐ ENROLL in My Highest Rated Udemy Courses to 🔑 Unlock Data Science Interviews 🔎 and Tests 📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS Build & Deploy ML NLP Models with Real-world use Cases. Multi-Label & Multi-Class Text Classification using BERT. Course Link: https://bit.ly/bert_nlp 📊 📈 Data Visualization in Python Masterclass: Beginners to Pro Visualization in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, [More]
Screening and Panel Discussion on Coded Bias Film, March 29 ACM’s Technology Policy Council and Diversity and Inclusion Council sponsored a free screening and public discussion of the film “Coded Bias” and how those in computer science fields can address issues of algorithmic fairness. The discussion occured on Monday, March 29, 2021 from 2:30-4:00 pm EDT (8:30pm CEST). PANELISTS: Dame Prof. Wendy Hall, Regius Professor of Computer Science, University of Southampton Hon. Bernice Donald, Federal Judge U.S. Court of Appeals for the Sixth Circuit Prof. Latanya Sweeney, Daniel Paul Professor of Government & Technology, Harvard University Prof. Ricardo Baeza-Yates, Research Professor, Institute for Experiential AI, Northeastern University MODERATOR: Prof. Jeanna Matthews, Professor of Computer Science, Clarkson University SPONSORS: ACM Technology Policy Council ACM Diversity & Inclusion Council National Science Foundation ADVANCE Grant Clarkson Open Source Institute (COSI), Clarkson University https://www.acm.org/diversity-inclusion/from-coded-bias-to-algorithmic-fairness
At the dawn of the 20th century, scientists discovered a hidden universe lying inside the atom, giving rise to the revolutionary theory of quantum mechanics. Quantum theory played a profound role in the previous century, giving rise to atomic weapons, medical devices such as the PET scanner, as well as led to the invention of transistors, computers, and smartphones. The 21st century is likely to similarly shaped by scientific advances in the field of artificial intelligence, which designs machines that “think”. Stunning advances in AI and machine learning have given rise to machines that beat the best humans at open-ended quiz competitions, like Jeopardy, or challenging games, like chess and Go. We are beginning to see autonomous cars driven by AI roaming our streets, and AI software now daily analyzes vast amounts of information on the web. The next decades will usher in even more significant advances in AI, where machines are capable of “imagination”, and are able to perform more creative tasks, from creating art and designing novel drugs, to inventing new scientific ideas by reading the scientific literature. Many countries, such as China and Russia, have recognized the importance of AI, and are devoting significant resources to building AI expertise. The arms race in the 21st century is likely to be significantly shaped by advances in AI. Sridhar Mahadevan is the Director of the Data Science Laboratory at Adobe Research in San Jose, California, as well as an adjunct professor at the College of Information and Computer Science [More]
🙋‍♂️ We’re launching an exclusive part-time career-oriented certification program called the Zero to Data Science Bootcamp with a limited batch of participants. Learn more and enroll here: https://www.jovian.ai/zero-to-data-science-bootcamp 🔗 Resources used • Notebook created in the workshop: https://jovian.ai/aakashns-6l3/deep-learning-project-live • Guidelines and datasets for deep learning projects: https://jovian.ai/learn/deep-learning-with-pytorch-zero-to-gans/assignment/course-project 💻 In this live hands-on workshop, we’ll build a deep learning project from scratch in 2.5 – 3 hours. You can follow along to build your own project. Take our Free Certification Course “Deep Learning with PyTorch: Zero to GANs” to learn the required skills: http://zerotogans.com Here’s an outline of the workshop: 📄 Find an interesting unstructured dataset online (images, text, audio, etc.) ❓ Identify the type of problem: regression, classification, generative modeling, etc. 🤔 Identify the type of neural network you need: fully connected, convolutional, recurrent, etc. 🛠 Prepare the dataset for training (set up batches, apply augmentations & transforms) 🔃 Define a network architecture and set up a training loop ⚡ Train the model and evaluate its performance using a validation/test set 🧪 Experiment with different network architectures, hyperparameters & regularization techniques 📰 Document and publish your work in a Jupyter notebook or blog post 📒 Datasets from the workshop: Chest X-Ray Images (Pneumonia) – https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia Fruits 360 – https://www.kaggle.com/moltean/fruits Flowers Recognition – https://www.kaggle.com/alxmamaev/flowers-recognition Malaria Cell Images Dataset – https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria Intel Image Classification – https://www.kaggle.com/puneet6060/intel-image-classification Best Artworks of All Time – https://www.kaggle.com/ikarus777/best-artworks-of-all-time CelebFaces Attributes (CelebA) Dataset – https://www.kaggle.com/jessicali9530/celeba-dataset Open Datasets – https://github.com/JovianML/opendatasets ⚙ Check out these projects for inspiration: • Blindness [More]
WWDC: Artificial intelligence robotic car from Anki is demoed at Apple keynote
During a recent Cardano360 update, Dr. Ben Goertzel discussed his background in AI and the partnership between the SingularityNET team and Cardano’s IOHK team, as well as the recent progress and details of SingularityNET porting its AGI token over to the Cardano blockchain to take advantage of the Plutus smart contract language. This will unlock new functionality that is critical to building decentralized artificial general intelligence. SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents. Website: https://singularitynet.io Forum: https://community.singularitynet.io Telegram: https://t.me/singularitynet Twitter: https://twitter.com/singularity_net Facebook: https://facebook.com/singularitynet.io Instagram: https://instagram.com/singularitynet.io Github: https://github.com/singnet Linkedin: https://www.linkedin.com/company/singularitynet
Despite the great progress made in artificial intelligence, we are still far from having a natural interaction between man and machine, because the machine does not understand the emotional state of the speaker. Speech emotion detection has been drawing increasing attention, which aims to recognize emotion states from speech signal. The task of speech emotion recognition is very challenging, because it is not clear which speech features are most powerful in distinguishing between emotions. We utilize deep neural networks to detect emotion status from each speech segment in an utterance and then combine the segment-level results to form the final emotion recognition results. The system produces promising results on both clean speech and speech in gaming scenario.
Sentiment analysis is an active research field where researchers aim to automatically determine the polarity of text [1], either as a binary problem or as a multi-class problem where multiple levels of positiveness and negativeness are reported. Recently, there is an increasing interest in going beyond sentiment, and analyzing emotions such as happiness, fear, anger, surprise, sadness and others. Emotion detection has many use cases for both enterprises and consumers. The best-known examples are customer service performance monitoring [2], and social media analysis [3]. In this talk, we present a new algorithm based on deep learning, which not only outperforms state-of-the-art method [4] in emotion detection from text, but also automatically decides on length of emotionally-intensive text blocks in a document. Our talk presents the problem by examples, with business motivations related to the Microsoft Cognitive Services suite. We present a technique to capture both semantic and syntactic relationships in sentences using word embeddings and Long Short-Term Memory (LSTM) based modeling. Our algorithm exploits lexical information of emotions to enrich the data representation. We present empirical results based on ISAER and SemEval-2007 datasets [5,6]. We then motivate the problem of detecting emotionally-intensive text blocks of various sizes, along with an entropy-based technique to solve it by determining the granularity on which the emotions model is applied. We conclude with a live demonstration of the algorithm on diverse types of data: interviews, customer service, and social media.
Tests of the Emotion Detector created in Python. As it can be seen, the detector prioritizes neutral and happiness expressions (this was due to the datasets employed in the creation of the detector; they had many more samples of these expressions than the others). The complete source code (under MIT license) is available in Github: https://github.com/luigivieira/emotions The original video used in the tests is the Human Emotions, used and reproduced here with the kind authorization from the folks of the Imagine Pictures video production company (thank you guys!). Original URL of the video: https://www.youtube.com/watch?v=UjZzdo2-LKE
In this video we will understand how we can implement Diabetes Prediction using Machine Learning. The dataset is taken from Kaggle. Please subscribe and support the channel. github url: https://github.com/krishnaik06/Diabetes-Prediction Data Science Projects playlist: https://www.youtube.com/watch?v=5Txi0nHIe0o&list=PLZoTAELRMXVNUcr7osiU7CCm8hcaqSzGw NLP playlist: https://www.youtube.com/watch?v=6ZVf1jnEKGI&list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm Statistics Playlist: https://www.youtube.com/watch?v=GGZfVeZs_v4&list=PLZoTAELRMXVMhVyr3Ri9IQ-t5QPBtxzJO Feature Engineering playlist: https://www.youtube.com/watch?v=NgoLMsaZ4HU&list=PLZoTAELRMXVPwYGE2PXD3x0bfKnR0cJjN Computer Vision playlist: https://www.youtube.com/watch?v=mT34_yu5pbg&list=PLZoTAELRMXVOIBRx0andphYJ7iakSg3Lk Data Science Interview Question playlist: https://www.youtube.com/watch?v=820Qr4BH0YM&list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K- You can buy my book on Finance with Machine Learning and Deep Learning from the below url amazon url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=sr_1_1?keywords=krish+naik&qid=1560943725&s=gateway&sr=8-1
The architecture of digital systems isn’t just a metaphor. It developed out of a 50-year collaborative relationship between architects and designers, on one side, and technologists in AI, cybernetics, and computer science, on the other. In this talk at the O’Reilly Design Conference in 2016, Molly Steenson traces that history of interaction, tying it to contemporary lessons aimed at designing for a complex world.
My first business was a martial gym, it was a great business. I didn’t want a job but I had to pay for grad school so I turned my sport into my livelihood. The problem with my gym business was that I lived in a small town. I couldn’t operate a high traffic low conversion business. I’d be out on the street in no time if I went that route. I had to work with a low traffic high conversion model and get the most closes from a small amount of lead flow. That’s what eventually turned my on to automation architecture. Come on over to https://entrepreneurshq.com/close-the-deal/ where you can get the step by step process and action steps. If you enjoyed this video, subscribe to our channel and get the #1 tactics of the world’s top experts and proven entrepreneurs delivered straight to your inbox at https://entrepreneurshq.com And if you’re interested in more exclusive interviews, check out our YouTube playlist on that exact topic here: https://www.youtube.com/playlist?list=PLQ-GTFGBosSz72RqL61pWChDP-Pjz_FQX Thanks for watching! JOIN ME! EHQ Daily: https://entrepreneurshq.com/daily
This is the recording of a webinar hosted by One Inside in September 2020. Our experts Clemens Blumer and Samuel Schmitt will explain – What is an intelligent conversational interface – How to run an AI Chatbot project successfully – How your marketing team can manage a conversational interface directly from the CMS
https://ob990.infusionsoft.com/go/sdrm/mattarroyo/ Check out Log splitter to leg lock submission by Dan Faggella…Very slick and effective technique. https://ob990.infusionsoft.com/go/sdrm/mattarroyo/
And we’re back with April’s Ready, Set community roundtable. This month’s topic: driving real value from Artificial Intelligence. Organizations are getting value with AI and it all starts with properly managing data and technology complexity.​ Learn more here 👉 http://ntap.com/AI Businesses across many industries are adopting AI to stay competitive, drive growth, and decrease expenses. But data silos and tech complexity are two of the biggest challenges to moving AI projects into production. In this round table, we’ll hear from industry experts, technologists and from the broader community on how businesses are managing data to drive REAL value from AI.​ Moderator: Barsha Karki Keynote Speaker: Nirvana Farhadi​ NetApp PoV: Hoseb Dermanilian​ Industry Panelists​: @Digitalsense’s Dan Firth, @NVIDIA’s Rima Alameddine and @Amazon Web Services’s Adrian Deluca Learn more here 👉 http://ntap.com/AI #NetApp #ArtificialIntelligence
Let’s face it. Pretty soon, robots will take over the world, and humanity will become a distant memory. The good news is, by the time technology catches up to The Terminator, we will already be dead. →Subscribe for new videos every day! https://www.youtube.com/user/toptenznet?sub_confirmation=1 Find more lists at: http://www.toptenz.net Entertaining and educational top 10 lists from TopTenzNet! Subscribe to our Facebook: https://www.facebook.com/TopTenz/ Business inquiries to admin@toptenz.net Other TopTenz Videos: Top 10 TRANSPORTATION DISASTERS (That Were Barely Averted) https://youtu.be/dL8hYQH2Ra4?list=PLQ4d2-ByGhnKUFXyekxgY1xuFObYL-Icg Top 10 Amazing Vehicles of the Future https://youtu.be/4llHST2NQQs?list=PLQ4d2-ByGhnL-cPEY5RatLLt_FtJKFkNC Text version: http://www.toptenz.net/10-jobs-artificial-intelligence-cant-take-away-humans.php Coming up: 10. Authors 9. Fashion Designers and Tailors 8. Psychologist 7. Doctors 6. Musicians 5. Police Officers 4. Judges 3. Art Teachers 2. Pro Athletes 1. Clergy Source/Further reading: https://motherboard.vice.com/en_us/article/bjjp4a/winds-of-winter-neural-network https://youtu.be/eaYc68dk498 https://www.npr.org/templates/transcript/transcript.php?storyId=488611449 https://motherboard.vice.com/en_us/article/j5g7gk/chatbot-empathy http://www.abc.net.au/news/2017-09-19/ai-wont-replace-doctors-soon-but-it-can-help-diagnosis/8960530 https://www.youtube.com/watch?v=jhl5afLEKdo https://arxiv.org/pdf/1611.04135v1.pdf https://motherboard.vice.com/en_us/article/kb7xqv/this-ai-can-accurately-predict-the-outcome-of-human-rights-trials https://youtu.be/OQ3e3yCyyd4?t=1m5s https://youtu.be/9-mwXX0Tn2Y https://www.theguardian.com/us-news/2017/jun/26/jobs-future-automation-robots-skills-creative-health https://www.youtube.com/watch?v=wUAM-7jbhIw https://cdn.pixabay.com/photo/2017/07/31/14/44/typing-2558213_960_720.jpg https://commons.wikimedia.org/wiki/File:Hayden_Ng_-_Singapore_Fashion_Designer.jpg https://www.flickr.com/photos/dovcharney/3566786889 https://commons.wikimedia.org/wiki/File:Garment_factory_in_Bangladesh_Women_working.jpg https://upload.wikimedia.org/wikipedia/commons/c/c6/Garments_Factory_in_Bangladesh.JPG https://commons.wikimedia.org/wiki/File:Los_Angeles_Apparel_logo.png https://www.themanufacturer.com/wp-content/uploads/2016/09/A-SoftWear-Automation-robotic-sewing-system.-Image-courtesy-of-SoftWear-Automation.-e1473528663700.jpg https://www.flickr.com/photos/iphonedigital/26988770454 https://www.flickr.com/photos/wonderlane/5223070403
Artificial intelligence as a threat to humans? Nope, says Rodney Brooks. AI-alarmists like Stefan Hawking or Elon Musk take a false perspective when they transfer human skills to machines. One example: If a machine solves arithmetical problems in a flash and wins highly complex games against humans, they conclude it is super smart – and thus smarter than humans. But according to Brooks, it is not that simple. What we can expect instead from AI and robotics in the next 10 to 20 years? How fast will technology actually progress and what significance will ethics have? Three of many questions one of the greatest pioneers of robotics answers in our DUB Business Talk. For more information visit dub-magazin.de
Artificial Intelligence is about to take over the job market. Brian Mullins, founder of DAQRI, thinks Augmented Reality could be the antidote needed to empower the next generation of worker and transform the way we think. ABOUT WIRED LIVE Hundreds of leaders from the worlds of technology, art, business and design gathered for WIRED’s two-day festival of innovation. They gathered at London’s Tobacco Dock on November 2-3 2017. Discover some of the fascinating insights from the speakers here: http://wired.uk/AjjQU1 ABOUT WIRED EVENTS WIRED events shine a spotlight on the innovators, inventors and entrepreneurs who are changing our world for the better. Explore this channel for videos showing on-stage talks, behind-the-scenes action, exclusive interviews and performances from our roster of events. Join us as we uncover the most relevant, up-and-coming trends and meet the people building the future. ABOUT WIRED WIRED brings you the future as it happens – the people, the trends, the big ideas that will change our lives. An award-winning printed monthly and online publication. WIRED is an agenda-setting magazine offering brain food on a wide range of topics, from science, technology and business to pop-culture and politics. CONNECT WITH WIRED Web: http://po.st/WiredVideo Twitter: http://po.st/TwitterWired Facebook: http://po.st/FacebookWired Google+: http://po.st/GoogleWired Instagram: http://po.st/InstagramWired Magazine: http://po.st/MagazineWired Newsletter: http://po.st/NewslettersWired
One of the main challenges for AI remains unsupervised learning, at which humans are much better than machines, and which we link to another challenge: bringing deep learning to higher-level cognition. We review earlier work on the notion of learning disentangled representations and deep generative models and propose research directions towards learning of high-level abstractions. This follows the ambitious objective of disentangling the underlying causal factors explaining the observed data. We argue that in order to efficiently capture these, a learning agent can acquire information by acting in the world, moving our research from traditional deep generative models of given datasets to that of autonomous learning or unsupervised reinforcement learning. We propose two priors which could be used by an agent acting in its environment in order to help discover such high-level disentangled representations of abstract concepts. The first one is based on the discovery of independently controllable factors, i.e., in jointly learning policies and representations, such that each of these policies can independently control one aspect of the world (a factor of interest) computed by the representation while keeping the other uncontrolled aspects mostly untouched. This idea naturally brings fore the notions of objects (which are controllable), agents (which control objects) and self. The second prior is called the consciousness prior and is based on the hypothesis that our conscious thoughts are low-dimensional objects with a strong predictive or explanatory power (or are very useful for planning). A conscious thought thus selects a few abstract factors (using the attention [More]
► A digital artist is teaching machines how to interpret paintings as real life people and results are amazing. Nathan Shipley is a San Francisco based artist who uses latest digital technology and in particular Artificial Intelligence to create some pretty cool artistic stuff. In 2018 he used Deepfake technology to bring to life Salvador Dali for the Dali Museum in Florida, who was able to talk and interact with visitors. In his latest project, using machine learning and generative art, he is exploring how artificial intelligence recreates historical figures from paintings. Please check video where some of his work is presented. And a warning again, please don’t freak out, I’ve added some subtle animation to give them additional layer of realism. Enjoy. Please follow Nathan’s work here: https://www.instagram.com/nathan_shipley_vfx/ https://twitter.com/CitizenPlain http://www.nathanshipley.com/ Featured in this video: King Henry VII, King Henry VIII, Anne Boleyn, King Edward VI, Queen Mary I (Mary Tudor), Elizabeth I (young, middle and old age), Mona Lisa and Rembrandt. ——— If you have enjoyed the video, please show some love by LIKING, COMMENTING and SUBSCRIBING to my channel! – – – – – – – – – – – – – – – – – – – – #MysteryScoop #HistoricalPaintings #HistoricalPortraits #AIStuff #ColorizedPhotos #DigitalAnimation #ArtificialIntelligence – – – – – – – – – – – – – – – – – – – – For any Copyright issues, please reach out to us first before filing a claim with YouTube. Send us a message or email [More]
Hi. In this lecture will transform tokens into features. And the best way to do that is Bag of Words. Let’s count occurrences of a particular token in our text. The motivation is the following. We’re actually looking for marker words like excellent or disappointed, and we want to detect those words, and make decisions based on absence or presence of that particular word, and how it might work. Let’s take an example of three reviews like a good movie, not a good movie, did not like. Let’s take all the possible words or tokens that we have in our documents. And for each such token, let’s introduce a new feature or column that will correspond to that particular word. So, that is a pretty huge metrics of numbers, and how we translate our text into a vector in that metrics or row in that metrics. So, let’s take for example good movie review. We have the word good, which is present in our text. So we put one in the column that corresponds to that word, then comes word movie, and we put one in the second column just to show that that word is actually seen in our text. We don’t have any other words, so all the rest are zeroes. And that is a really long vector which is sparse in a sense that it has a lot of zeroes. And for not a good movie, it will have four ones, and all the rest of zeroes [More]
Daniel is a passionate entrepreneur, who has founded multiple tech and ecosystem ventures. He’s been named Germany’s, Austria’s and Switzerland’s top talent under 25, is a TEDx speaker, Global Shaper, and a frequent advisor to governmental organizations and larger corporations. Currently, Daniel oversees the Kairos Society in Europe as its president, a community, summit, and ‘impact amplifier’ of the world’s most outstanding entrepreneurs. Daniel is furthermore working on launching a 9-figure blockchain-driven fund at Project Investment Group, an investment firm with 3.2 billion euros under management, where he serves as a supervisory board member. Daniel has built three companies: Emoti, EWOR, and Unlimitix. You can read more about this episode here: https://bwmissions.com/blog/daniel-dippold-podcast Follow Bryan Wish on Linkedin: www.linkedin.com/in/bryanwish/ Follow Bryan Wish on Twitter: https://twitter.com/bryanwish_?s=11 Follow Bryan Wish on Instagram: https://www.instagram.com/bryanwish_/ Join our Mission: bwmissions.com/join/ Join our Community: my.community.com/bwmissions
# Namaskar dosto aaj ke video maine apko bataya hai ki.. Kaise Biometric Machine sakte hai aur se kharide aur kitna mey milega aur sath he kaise iska registration kare, aur kitna charge dena padega. umid karta hu video accha laga hoga agar video accha laga to please video ko ek like kar dijiyega…..👍👍 🔺Biometric Device Buy – https://amzn.to/2J4PxlS Connect with me :-. 🌐Facebook link -. https://www.facebook.com/technicalpalji/ 🌐Instagram link :-.    https://www.instagram.com/nakul_prakash_yt/ ⏩ Whatsapp Group Link :- https://chat.whatsapp.com/EY9C6FMkx049Jc2zEfwxnD ✔️Like ✔️Share ✔️Comment ✔️Subscribe ✔️ Follow Me On Instagram ————————————————————————————————————————————————————————————— ⛔️Copyrights Issues : ⏩There is no copyright infringement intended for the song or picture or Video . If you have an issue with me posting this song or picture or Video please contact me through my Email or Mail me (nakulprakash6@gmail.com). —-Once I have received your message and determined you are the proper owner of this content I will have it removed immediately. ————————————————- 🌀 My Gear — 🔻Green Screen – https://amzn.to/2M0ZlgD 🔻Mic – https://amzn.to/34qXCaP 🔻My Phone- https://amzn.to/2POUpfY 🔻Tripod- https://amzn.to/38IrTVZ 🔻Earphone- https://amzn.to/35sSJzp — Bye Bye And Take Care ✋✋ 🙏Thanks for watching …#Technicalpalji
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