HAMNA AMIR’s Post

Ready for the next big leap in making AI truly accessible? We are excited to release #CliMB, a no-code AI-enabled partner for clinical predictive modelling! With CliMB, you can build predictive models using natural language. CliMB supports data exploration, engineering, model building, and interpretation—enabling clinician scientists to utilise cutting-edge tools in the fields of data-centric AI, AutoML, and interpretable ML. This proof of concept is a huge step towards breaking barriers and #empowering clinician scientists to build predictive models using cutting-edge tools! You can read our paper here: https://lnkd.in/eC2M5WMw   You can download CliMB here: https://lnkd.in/eeWWU_uV We recently discussed CliMB extensively with clinical researchers during a #RevolutionizingHealthcare session. You can watch the full episode on YouTube to hear their insights and watch our demonstrations of the tool: https://lnkd.in/ekGefg3d 

🌟 Excited to share my latest project on Speech Emotion Recognition! 🎤✨ I’ve developed a system that automatically detects emotions from speech signals using advanced techniques such as MFCC-based feature extraction and machine learning models like Support Vector Machines (SVM) and deep learning architectures like RNNs and CNNs. 📊🤖 From preprocessing raw audio data to deploying the model in real-time applications, this project showcases the power of AI in understanding human emotions through voice. I fine-tuned the model for optimal performance using accuracy and F1-score metrics. 🔧 Curious to know how AI can recognize emotions from speech? Let’s connect and discuss! Zidio Development #zidiodevelopment #SpeechEmotionRecognition #AI #MachineLearning #DeepLearning #SpeechRecognition #EmotionAI #TechInnovation

Just finished the course “Hands-On Generative AI with Diffusion Models: Building Real-World Applications” by Nayan Saxena! Check it out: https://lnkd.in/gcHqCnHn #generativeai #applicationdevelopment.

✨I’m excited to present my final project at Innomatics Research Labs! This project addresses a crucial issue: improving accessibility for visually impaired individuals. Our solution incorporates advanced AI features, including: 1️⃣ Real-time scene understanding for enhanced navigation 2️⃣ Text-to-speech conversion for smooth interaction 3️⃣ Personalized assistance for everyday tasks 🚀Building this tool has been both challenging and rewarding, combining Generative AI and deep learning to empower users and promote inclusivity. A heartfelt thanks to Kanav Bansal Sir and the Innomatics Research Labs team for their invaluable mentorship and guidance throughout this journey! 👉Explore the details on GitHub: https://lnkd.in/gWsh_wXk  #GenerativeAI #DeepLearning #AIInnovation #InnomaticsResearchLabs

I'm excited 😃 to share that I have recently completed the "Fundamentals of Generative AI" course as part of the SAWiT Learnathon conducted by GUVI. This immersive program provided me with a deep understanding of Generative AI, exploring key concepts such as: →The underlying mechanisms of Generative AI models. →Techniques like large language models, transformers, and diffusion models. →Practical applications of Generative AI in creating text and more. →Hands-on experience with tools and frameworks that enable the building and deployment of generative models. This learning journey has significantly enhanced my knowledge in AI and machine learning, empowering me to integrate these cutting-edge technologies into various innovative projects. I look forward to applying these insights to future endeavors, particularly in AI-driven app development, data science, and beyond! 😊 #GenerativeAI #AI #MachineLearning #TechSkills #ContinuousLearning #GUVI #SAWiTLearnathon #AIInnovation

🚀 Excited to share that I've just earned a badge after completing an enlightening course on "Introductory to Prompt Design in Vertex AI"! 🌟 In this course, I learnt prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Throughout the course, I gained invaluable insights into crafting effective prompts, guiding generative AI output, and applying Gemini models to real-world scenarios. 💡 Excited to apply these newfound skills and knowledge to future projects! 🌐 #AI #VertexAI #PromptDesign #GenerativeAI #ContinuousLearning

Just finished the course “Hands-On Generative AI with Diffusion Models: Building Real-World Applications” by Nayan Saxena! Check it out: https://lnkd.in/gid5mSGY #generativeai #applicationdevelopment.

Hello everyone, 🚀Excited to share that I've successfully completed a task on table question answering using Hugging Face! Tackling this challenge has been an incredible learning experience, and I'm thrilled to see the model in action. A big thank you to AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society for their support and guidance throughout this journey. Here's to leveraging cutting-edge AI tools to unlock insights from data.  #AIMERS  #AIMERSOCIETY  #APSCHE #MachineLearning #ArtificialIntelligence #HuggingFace #GoogleColab #AI

Upcoming Event Alert!! Join us on July 3rd at 4 pm for an exciting Webinar session on Generative AI and Prompt Engineering with featured speaker, Harish Reddy Manyam Gain an understanding of Generative AI, including key concepts and various types of generative models. Learn the basics of Prompt Engineering with practical examples and hands-on exercises using language models. Network with professionals and enthusiasts passionate about AI. 📅 Mark your calendars and get ready to dive into the world of Generative AI! For More info visit, Leveragai Register now : https://lnkd.in/eyahTQVc #GenerativeAI #PromptEngineering #AIWebinar #TechLearning #LearnAI #TechCommunity

🚀 Excited to share the latest episode of Count Me In with the insightful Tineke Distelmans! We explored the captivating realms of Artificial Intelligence and Machine Learning. Key Takeaways: - AI vs. Machine Learning: AI encompasses tasks requiring human intelligence (learning, problem-solving, language understanding), while machine learning uses algorithms to learn from data without explicit programming. - Daily Applications: From Siri to Netflix recommendations, AI and machine learning are everywhere, continuously optimizing to enhance our daily experiences. - Implementing AI: Rigorous groundwork is needed, including data preparation and ensuring transparency and fairness. Tineke’s case study on predicting patient satisfaction in hospitals showed how AI can drive better decision-making. Curious to learn more? 🎧 Listen to the full episode! #AI #ArtificialIntelligence #MachineLearning #Podcast #BusinessInsights 📢 https://lnkd.in/eKunuQdH