Every Learner Everywhere ’s Post

AI-based adaptive learning is revolutionizing education by personalizing the learning experience for each student. By leveraging artificial intelligence algorithms, educational platforms can analyze students' strengths, weaknesses, and learning styles to tailor content and pacing accordingly. One key advantage of AI-based adaptive learning is its ability to provide immediate feedback and remediation. Through continuous assessment and analysis of students' performance, the system can identify areas where a student is struggling and offer targeted interventions or additional practice to reinforce learning. AI-powered adaptive learning platforms can adapt to each student's progress over time, dynamically adjusting the difficulty level and content to ensure optimal engagement and mastery. This individualized approach promotes deeper understanding and retention of concepts, ultimately enhancing the overall learning outcomes for students across diverse backgrounds and abilities. TalentServe #internship

I am excited to share my Artificial Intelligence internship journey and accomplishments thus far! During my internship, I immersed myself in the world of Artificial Intelligence, tackling new challenges daily. Working with NarrateAR, an EdTech startup focused on personalized learning, which aims to revolutionize education by leveraging AI and AR technologies to create personalized learning experiences, I contributed to building AI co-pilots tailored for students with special needs and building the backend for the application. Here are some highlights from my enriching journey: 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌𝐬) - One of the key aspects of my role involved modeling LLMs to craft personalized responses tailored specifically for K-12 students. It was truly fascinating to witness how these models could be honed to cater to individual needs, enhancing the learning experience for each student. 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 - Implemented algorithms like gamification to enhance interactivity in learning for students with special needs. 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐀𝐒𝐏.𝐍𝐄𝐓 I had the opportunity to architect and integrate the ASP.NET backend with Large Language Models (LLMs), creating a seamless and cohesive system. This integration facilitated smooth and intuitive interactions greatly enhancing the student learning experience. 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐑𝐀𝐆 𝐟𝐨𝐫 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 - Delving into the potential of RAG, I explored ways to provide LLMs with greater context about the questions they were asked. Thank you, Christopher Whitmer, Karri Haen Whitmer, and Vikas Jyoty, for your unwavering support and guidance throughout this journey. Your mentorship has been invaluable, and I am grateful for the chance to contribute to such innovative projects and collaborate with exceptional individuals. 💫#NarrateAR #AI #Internship #LearningJourney

🎯 **Task Completed**: Object Detection using YOLO 📅 **Internship Program**: AIMER Society 👨🏫 **Mentor**: Sai Satish 🔍 **Key Aspects**: - Utilized YOLO (You Only Look Once) algorithm - Applied principles of artificial intelligence - Hands-on experience with object detection - Developed practical machine learning skills - #ObjectDetection - #YOLO - #ArtificialIntelligence - #AIMERsociety - #Internship - #MachineLearning - #DeepLearning - #AI - #TechInternship - #Mentorship - #SaiSatish - #ComputerVision - #TechProjects - #AIProjects - #MLInternship

This week I had the opportunity to present at the Future of Teaching and Learning Conference, where I discussed "Teaching Unplugged: Understanding Where AI Falls Short." 🔌 The role of a great teacher has never been more important. By digging deeper into how teachers can fill the gaps left by AI, we can empower them to have a greater positive impact on our students. Thanks to those who were up for joining the conversation! A few perspectives I'm finding myself still thinking about: 💡 The purpose of higher education: José Antonio Bowen described the future of a college education by explaining that "four-year programs can be viewed as 'internships.'” If this is the case - what makes an internship successful? How can we develop these programs so that students can continue to explore their interests and strengths while also providing them with practical, hands-on experiences? Plus, which institutions are *already* doing this... 💡 Todd Cherner provided a great framework for any educator designing a course where students are encouraged to use AI. He encouraged educators to ask themselves several questions - here are my two favorites: 1. What are my students learning by using AI? 2. What are my students *not* learning by using AI? P.S. Check out my friend Bryson McGuire, Ed.D.'s new book "The Effective Educator" just released this week! I also wanted to thank Dipesh Jain, Eric Stano and Pooja Sharma from Magic EdTech for encouraging me to attend this great event and share my research and perspective with such an innovative and inspiring community.

🌟 Externship Completion in Artificial Intelligence and Machine Learning (AIML) with SmartInternz and Google Developer Groups (GDG)🌟 I am thrilled to share that I have successfully completed a comprehensive externship program in Artificial Intelligence and Machine Learning, from SmartInternz .🚀 Throughout this enriching journey, I had the incredible opportunity to delve deep into cutting-edge concepts and hands-on experiences in AIML, guided by industry experts and mentors. This externship has not only equipped me with a solid foundation in AI technologies but also allowed me to explore real-world applications and challenges in the field. I am grateful to SmartInternz for providing an immersive learning environment and a platform to enhance my skills in AIML. The support and insights gained during this externship have been invaluable in shaping my understanding of the ever-evolving landscape of artificial intelligence. I am excited to apply the knowledge and expertise acquired during this internship to contribute meaningfully to the field of AI. Grateful for the opportunity, and looking forward to leveraging these skills in future endeavors. #AI #MachineLearning #SmartInternz #AIML 🤖💡

Stop wasting your time mugging AI concepts. It won’t let you acquire a deeper understanding of the AI algorithms as theoretical concepts are bound to certain conditions and won’t reciprocate the same explanation in real-time situations. And solving existing real-world problem will become challenging and this will negatively impact your decision-making process. Have any more learnings to share, comment below? #artificialintelligence #machinelearning #aiconcepts #easyshiksha #onlinelearning #datascience #jobsearch #careeradvice #learnfromhome #management #mbalife #marketing #career #jobseeker #internship #programming #onlinecourses #courses #india #universities #onlineinternship #virtualinternship #education #certifiedcourses #digitallearning #graduate #college #parents #students #specializations

Mastering #PromptEngineering with #ORN_AI Join ORN-AI's online course to learn the art of crafting effective #AIprompts. Enhance AI performance through hands-on exercises and expert tutorials. Suitable for all skill levels. Become a proficient prompt engineer with ORN-AI. Aguila Consulting Chandra Reddy #Online #Training #careeradvice #careercounseling #Cvwriting #internship #Placement #Careergapfilling #IT #Noncoding #Coding

#Excited to #Announce: Internship Completion in AI/ML Programming! 🎉🤖 I am #thrilled to share that I have #successfully_completed my #internship in #AI_ML_Programming. This #experience has been incredibly #enriching, providing me with invaluable #hands_on_skills and #insights into the world of #artificial_intelligence and #machine_learning. 🧠💡 A #heartfelt Thank You to InternPe for this #amazing_opportunity and for their continuous #support and #guidance throughout the #internship. 🙏 I am #grateful for the chance to work alongside such a #talented and #dedicated #team. 👥 I look #forward to applying the #knowledge and #skills I have gained to #future_projects and continuing my #journey in the AI/ML field. 🚀✨ #internship #AI #MachineLearning #InternPe #career #technology #AI_ML #programming #future #tech

🚀Excited to kick off my journey as a research intern at MIT-WPU Institute of Artificial Intelligence! Over the next 6 months, I aim to enhance my coding abilities, interpersonal skills, and knowledge base. Looking forward to leveraging this experience to tackle the corporate realm and expand my arsenal of skills. #ResearchIntern #ArtificialIntelligence #MITWPU #Internship #SkillsDevelopment #MIT #Coding #ML #AI 🎊 ✨

object detection Certainly! Here are some additional points you could add to describe your internship project on object detection at AIMER society: 1. **Problem Statement**: Clearly outline the problem or challenge that your object detection project aimed to address within AIMER society. 2. **Methodology**: Describe the methodology or approach you used for developing the object detection system. This could include the algorithms, frameworks (such as TensorFlow, PyTorch), and techniques (like CNNs, YOLO, etc.) employed. 3. **Dataset**: Detail the dataset used for training and testing the object detection model. Mention any data preprocessing techniques applied and the size/scale of the dataset. 4. **Model Training**: Explain how you trained the object detection model, including parameters tuned, training epochs, and any regularization techniques used to improve model performance. 5. **Evaluation Metrics**: Discuss the metrics used to evaluate the performance of your model (e.g., precision, recall, F1-score, mAP) and the results obtained. 6. **Implementation**: If applicable, mention how the object detection model was implemented in practical scenarios within AIMER society. Highlight any challenges faced during deployment and how you addressed them. 7. **Collaboration and Learning**: Share insights gained from collaborating with team members or mentors at AIMER society. Discuss any new skills or knowledge acquired during the internship. 8. **Impact**: Quantify or qualify the impact of your object detection project. For example, did it lead to improved efficiency, reduced costs, or enhanced decision-making within AIMER society? 9. **Future Recommendations**: Suggest any future enhancements or developments that could further improve the object detection system or extend its applications within AIMER society. 10. **Documentation and Presentation**: Highlight any documentation or presentations you prepared to communicate your project findings and outcomes effectively to stakeholders at AIMER society.