Elaine Marieb Center for Nursing and Engineering Innovation’s Post

I'm excited to go deep into OpenCV as I finish my internship at Digital Empowerment Network! This final project used OpenCV to investigate many image processing methods. I tried my hand at: Color separation, merging, and grayscale conversion are examples of image modification. Adjustments for contrast and brightness. Rotation and cropping. Enhancing images: Using Gaussian blur to reduce noise. using Canny edge detection to find edges. Analyzing an image involves computing histograms to examine the distribution of pixel intensity. To smoothen the picture, use a simple image filtering technique called averaging. I learned a lot about the principles of computer vision and how they may be used in practical situations by investigating these features. #OpenCV #computer vision #imageprocessing #internship #DEP #datascience

🌟 Proud to Share: Successfully Completed My Internship at Anna University! 🌟 I’m excited to announce the successful completion of my one-month internship at Anna University, where I had the incredible opportunity to dive into the fascinating world of quantum computing and machine learning. During this internship, I worked on developing a machine learning model for detecting code repetition errors in quantum computing systems, with a focus on applications in quantum communication. Here’s a glimpse of what I accomplished: Utilized CIRQ (Google’s open-source Python library) to simulate quantum circuits and implement error correction protocols. Researched and applied quantum error correction techniques, such as repetition codes, to improve error detection in noisy quantum environments. Gained hands-on experience with quantum computing fundamentals, including qubits, quantum gates, and decoherence, while applying machine learning to solve real-world challenges. This internship not only deepened my technical skills but also gave me a deeper appreciation for the potential of quantum computing to transform the future of technology. I’m immensely grateful to Anna University and my mentors for providing me with this incredible learning opportunity. The knowledge and experience I gained will undoubtedly shape my future endeavors in this exciting field. If you’re passionate about quantum computing, machine learning, or emerging technologies, let’s connect! I’d love to exchange ideas and explore the endless possibilities in this space. #QuantumComputing #MachineLearning #Internship #AnnaUniversity #CIRQ #QuantumErrorCorrection #TechInnovation #Grateful

Excited to share that during today's internship at Feather Softwares, I learned how to use the Median Filter in MATLAB! This powerful technique is essential for noise reduction in image processing, and I'm thrilled to add this skill to my toolkit. Looking forward to applying this knowledge in upcoming projects and continuing to grow in my AI and data processing journey. #Internship #Learning #MATLAB #ImageProcessing #FeatherSoftwares

Recognizing hand gesture using mediapipe studio, GenerativeAl using hugging face and work on GOOGLE colab as a part of internship at AIMERS society-Artificial Intelligence Medical and Engineering Researchers Society, #AIMERS #AIMERSOCIETY #APSCHE #DATASCIENCE #OPENCV #HUGGINGFACE #Googlecolab #GenerativeAl #MediapiprStudio #ARTIFICIALINTELLIGENCE #MACHINELEARNING #DEEPLEARNING #BIGDATA #COMPUTERVISION

I hope you all are doing extremely well. Here is my day 37 of the 60-day DSA challenge. Today I first read about topological sort. It is a linear ordering of vertices b/w u & v such that u appears before V in that ordering. It is only for acyclic-directed graphs (ADG). Then I solved 2 problems based on it. That’s it for today see you all tomorrow. #DSA #CodingChallenge #60DaysOfDSA #ProblemSolving #Learning #Coding #Algorithms #DataStructures #Engineering #Internship #developer #C++ #engineer #striver

High schoolers from George Mason programs present research at MIT Mihai Boicu, an associate professor in the Department of Information Sciences and Technology, mentors undergraduate and high school students in two programs at George Mason University, the Aspiring Scientists Summer Internship Program (ASSIP), led by Amanda Haymond in the College of Science and the AI4Defense Scholars Program led by Kamaljeet Sanghera, the executive director of the Institute for Digital InnovAtion (IDIA). Learn more about their research in our latest newsletter.

This memory popped up at just the right time for me, because I think it’ll help me illustrate something I’ve had a hard time convincing mentees of lately: I didn’t *start out* as young engineer of the year. Technically this is obvious but, also, apparently, somehow hard for people to believe. So in good timing ahead of my appearance at QUT (Queensland University of Technology) Open Day later in the month back in #Brisbane.. This is me! 2 years into my #engineering degree. I went back and checked on what grounds I was nominated: 1/ I had just recently agreed to be the secretary of the Maths Student Society (quite timidly; secretary was the only role I felt confident I could do) 2/ I was a volunteer maths tutor (because it was a requirement in order to be a PAID maths tutor 😆) 3/ I was a *participant in* the women-in-engineering mentoring program, and 4/ I had completed exactly one internship as an electrical engineer, writing reports. There's still courage in each of those, but nothing over-the-top. This is how it started 😊 So yes technically I’ve written code used in NASA’s VIPER mission AND worked on robotic medical devices AND volunteered repairing equipment with Engineering World Health, etc.. but I didn’t do it all at the same time! So, here’s the thing I hope students at the Open Day keep in mind when hearing about my career! I didn’t do this in one year. I did it in 15 🙂 https://lnkd.in/g_D_h_wR #robotics QUT Engineering, Architecture and Built Environment QUT Science, IT and Maths QUT Women in Maths QUT GEMS QUT Robotics Club

🚀 Object Detection using YOLOv8 | Intern at AIMER Society 👨💻 Name: karthik sriram Ramba 🎓 College: Godavari Global University (GGU) 🔧 Department: Computer Science and Engineering (CSE) I developed a real-time object detection system using YOLOv8 during my internship at AIMER Society (Artificial Intelligence Medical and Engineering Researchers Society). Here’s an overview of the project: Technologies Used: ⚙️ Python: Scripting and integration. 🤖 Roboflow API: Managing and accessing datasets. Project Highlights: Roboflow Integration: Automated dataset management for seamless updates. YOLOv8 Model Implementation: Real-time object detection using a pre-trained model. Error Handling: Implemented retry mechanisms for robustness. Application: Detects and labels objects in real-time webcam feeds. Achievements: 🌟 Enhanced proficiency in computer vision and deep learning techniques. 🚀 Demonstrated ability to integrate diverse technologies for practical applications. Future Plans: 🔍 Explore optimizations for speed and accuracy. 📲 Consider deployment in surveillance or automated monitoring systems. This project underlined my commitment to advancing in AI and computer vision, contributing to my growth during my internship at AIMER Society. #ComputerVision #DeepLearning #Python #OpenCV #YOLOv8 #Roboflow #Internship #AI #ArtificialIntelligence #MachineLearning #CV #ObjectDetection #TechInnovation #STEM #Engineering #ComputerScience #Tech #Innovation #Programming #DataScience #Research #TechCareer #DigitalTransformation #IoT #Robotics #Automation

"Excited to share the successful completion of AICTE virtual internship program in Data Science at Next24Tech Technology focusing on Road Lane Line Detection! 🚗💻 Key Learning Points: 🔍 Conducted in-depth research on lane detection algorithms, exploring both classical and modern approaches. 🤖 Implemented the robust Hough Transform algorithm for accurate lane line identification, showcasing adaptability to diverse road scenarios. 🌟 Leveraged Python and OpenCV for code implementation, ensuring a modular and efficient structure. 🛠️ Overcame challenges such as varying lighting conditions and road curvature through innovative strategies. 📊 Tested and fine-tuned the algorithm on a comprehensive dataset, achieving impressive accuracy in lane line detection. 💡 Embraced continuous learning and adaptation, crucial for success in the dynamic field of computer vision. Grateful for the enriching experience and eager to apply these learnings in future endeavors! #ComputerVision #InternshipSuccess #Next24Tech"

🌟 Thrilled to Share My Second Task for The Sparks Foundation Internship! 🌟 I'm excited to announce the completion of my second task as part of my internship with The Sparks Foundation. This project focused on **Color Identification in Images and Videos** using computer vision techniques. 🔍 Project Highlights: - Implemented color detection algorithms to identify specific colors in images. - Extended the solution to work with video files, enabling real-time color detection. - Utilized the HSV (Hue, Saturation, Value) color space to improve accuracy and flexibility in color detection. - Defined specific color bounds in the HSV color space to precisely isolate and identify colors within images and videos. - Used OpenCV and Python to process and extract color information. Converting images to the HSV color space allowed for more effective color segmentation, as it separates color information from intensity. By setting specific lower and upper bounds for the target colors, the algorithm could accurately detect and highlight the desired regions. This task has been an incredible learning experience, allowing me to dive deeper into computer vision and enhance my skills in image and video processing. I look forward to applying these techniques to more complex problems in the future. Special thanks to The Sparks Foundation for this opportunity and to everyone who supported me throughout this journey! 📽️ Check out my video to see the project in action. GitHub Repo: https://lnkd.in/gkTYMx77 #ComputerVision #Internship #TheSparksFoundation #ColorDetection #ImageProcessing #VideoProcessing #OpenCV #Python #Tech #Innovation #Learning #AI #MachineLearning #GRIPJULY24