🚀 Introducing CineGuru: Your Personal Movie Guide! 🎬🍿 🔍 Project Overview: I'm thrilled to present CineGuru, a cutting-edge application designed to enhance your movie-watching experience. Whether you're in the mood for an action-packed thriller or a heartwarming comedy, CineGuru is here to help you find the perfect movie based on your favorite genres. 🎯 Project Objectives: The primary goal of CineGuru is to provide personalized movie recommendations, ensuring you never miss out on a film that aligns with your tastes. By analyzing your preferred genres, CineGuru delivers top-notch suggestions that match your interests. 🛠️ Techniques and Technology Used: Streamlit: For an interactive and user-friendly web interface. Pandas: For efficient data manipulation and analysis. TF-IDF Vectorizer: To convert text data (movie genres) into meaningful numerical representations. K-Nearest Neighbors (KNN): For finding movies with similar genres based on user input. PIL (Python Imaging Library): To handle movie poster images. Requests: For fetching movie posters from the web. 🏢 Organizational Goals and Benefits: CineGuru aims to revolutionize the way people discover movies, making the selection process seamless and enjoyable. By leveraging advanced machine learning techniques, we strive to offer a highly personalized and engaging user experience. This project highlights our commitment to innovation and user satisfaction, driving us closer to becoming a leader in AI-powered entertainment solutions. 🌟 Advantages: Personalized Recommendations: Tailored movie suggestions based on individual preferences. User-Friendly Interface: An intuitive and visually appealing platform for effortless navigation. Enhanced Movie-Watching Experience: Discover new films that match your taste, ensuring endless entertainment. 🚀 Future Goals: We plan to enhance CineGuru by incorporating: Advanced Recommendation Algorithms: For even more accurate suggestions. User Reviews and Ratings: To refine recommendations based on community feedback. Real-Time Data Integration: To provide the latest movie releases and trends. 🙏 Special Thanks: A heartfelt thank you to KODI PRAKASH SENAPATI for your invaluable guidance and support throughout this project. Your expertise and mentorship have been instrumental in bringing CineGuru to life. #MachineLearning #ArtificialIntelligence #MovieRecommendations #TechInnovation #CineGuru #Python #Streamlit #DataScience #PersonalizedExperience #AI #EntertainmentTech #Innovation #DataAnalysis #FutureOfEntertainment #TechCommunity #Mentorship #Gratitude #ProjectShowcase
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🚀 Just Built an Interactive AI-Powered CrewAI Documentation Assistant! 🤖📚 Excited to share my latest project—an AI-driven QA assistant designed to answer complex queries about CrewAI documentation in real-time! 🎉 🔍 What I Used: LangChain for building the Retrieval-Augmented Generation (RAG) pipeline Ollama's phi4 model for efficient and scalable large language model deployment Chroma Vector Store for fast document retrieval Chainlit for an interactive and responsive UI with streaming responses Crawl4AI for creating the vector store from documentation ⚡ Key Features: Real-time streaming responses for a smooth user experience Context-aware, accurate answers sourced directly from vectorized documentation Intelligent fallback when answers aren't available in the knowledge base 💡 Why It’s Exciting: This system enables seamless access to complex documentation, reducing the time spent searching for answers and improving productivity. Imagine having an AI expert available 24/7 to explain technical concepts with clarity! You can check the code here: https://lnkd.in/gZjXzTdH 🤝 Let’s Connect! If you’re working on exciting projects or exploring innovative ideas in AI and technology, I’d love to connect and explore how I can contribute. Open to interesting collaborations and opportunities! You can contact me at [email protected] #ollama #langchain #rag #crewai #retrivalaugmentedgeneration #genai #python
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🎵 Excited to Share Our Latest Project: Mood-Based Music Player! 🎶🤖 I'm thrilled to announce that Me(Viraj Vala) and Varesh Patel, have successfully completed our latest project—a music player website that uses advanced face detection algorithms to detect your mood and suggest music accordingly using Spotify API 🎧✨ 🔍 Project Highlights: Over the past few weeks, we've dived deep into the fascinating intersection of technology and music. Our project detects your facial expressions to determine your mood and plays music that matches your feelings. Here's a quick overview of what we've achieved: 👨💻 Face Detection & Mood Analysis: 🛠️ Utilized libraries like Pandas, CV2 (OpenCV), NumPy, and TensorFlow to implement state-of-the-art face detection algorithms. 📊 Employed Keras with the VGG-16 model for deep learning to accurately predict moods based on facial expressions. 🌐 Web Development: 💻 Built the website using Flask to create a seamless and interactive user experience. 🎵 Music Integration: Integrated with Spotify API to curate playlists that match detected moods. Explored additional libraries like dlib and face_recognition for enhanced face detection capabilities. 🔗 Watch the Demo: Check out the video to see our mood-based music player in action! 🎬🎉 👥 Team Credits: A huge shoutout to Varesh Patel for his incredible collaboration and contributions throughout this project. This has been a team effort, and it wouldn't have been possible without his expertise and dedication. 🙏 Special Thanks: We would also like to extend our gratitude to Prof. Khyati Mehta from G.H. Patel College of Engineering and Technology for her constant guidance. 💡 Future Plans: We are excited about the potential of this project and look forward to develop a mobile application of the same. 📢 Connect with Us: We are eager to connect with fellow tech enthusiasts and professionals. Feel free to reach out if you're interested in discussing web development, machine learning, or potential collaborations! #MusicPlayer #FaceDetection #MachineLearning #Python #Flask #TensorFlow #Keras #SpotifyAPI #WebDevelopment
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🥳🎊 HURRRAYYYY Achievement Unlocked! 🎊🥳 “Don’t be sad because it’s over; smile because it happened.” This is exactly how I feel as I proudly share that I’ve successfully completed all mandatory courses in the Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka 🚀✨ This transformative journey wasn’t just about learning—it was about growth, resilience, and discovery. From writing my first line of Python code to diving deep into advanced machine learning algorithms, every step has been a story worth telling. 🌟💻 📚 Here's a snapshot of the courses I’ve completed: Belajar Analisis Data dengan Python Memulai Dasar Pemrograman untuk Menjadi Pengembang Software Pengenalan ke Logika Pemrograman (Programming Logic 101) Belajar Dasar Git dengan GitHub Crash Course on Python Using Python to Interact with OS Linear Algebra for Machine Learning and Data Science Supervised Machine Learning: Regression and Classification Advanced Learning Algorithms Unsupervised Learning, Recommenders, Reinforcement Learning Introduction to TensorFlow for AI, Machine Learning, and Deep Learning Convolutional Neural Networks in TensorFlow Natural Language Processing in TensorFlow Sequences, Time Series, and Prediction Structuring ML Projects Browser-based Models with TensorFlow.js Device-based Models with TensorFlow Lite Data Pipelines with TensorFlow Data Services Custom Models, Layers, and Loss Functions with TensorFlow Custom and Distributed Training with TensorFlow Advanced Computer Vision with TensorFlow Generative AI for Everyone Build Basic Generative Adversarial Networks (GANs) Through every late-night study session, every debugging challenge, and every “aha!” moment, this experience has truly been life-changing. It’s a bittersweet ending to an unforgettable chapter, but one I will carry forward with immense gratitude. 🌈✨ A huge thank you to Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka, Dicoding Indonesia, and Coursera for this incredible opportunity to grow and thrive. Your guidance has been the beacon lighting my path. 🌟 While this milestone marks the end of one journey, it’s also the beginning of many more. I’m ready to bring these skills to life and tackle real-world challenges. Here’s to the next adventure! 🌍💪 #LifeAtBangkit #Bangkit2024 #MSIB7
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"Thrilled to share the progress of our innovative project that combines facial emotion detection with music recommendations! By leveraging advanced #MachineLearning and #AI technologies, we're creating a personalized music experience that dynamically adapts to your emotional state. Imagine a music player that understands how you feel and plays the perfect track to match your mood. Dive into our journey, explore the technical details, and see how this cutting-edge solution is shaping the future of music interaction. Stay tuned for more updates! #MusicPlayer #FaceDetection #TechInnovation #AI #MachineLearning #EmotionAI"
🎵 Excited to Share Our Latest Project: Mood-Based Music Player! 🎶🤖 I'm thrilled to announce that Me(Viraj Vala) and Varesh Patel, have successfully completed our latest project—a music player website that uses advanced face detection algorithms to detect your mood and suggest music accordingly using Spotify API 🎧✨ 🔍 Project Highlights: Over the past few weeks, we've dived deep into the fascinating intersection of technology and music. Our project detects your facial expressions to determine your mood and plays music that matches your feelings. Here's a quick overview of what we've achieved: 👨💻 Face Detection & Mood Analysis: 🛠️ Utilized libraries like Pandas, CV2 (OpenCV), NumPy, and TensorFlow to implement state-of-the-art face detection algorithms. 📊 Employed Keras with the VGG-16 model for deep learning to accurately predict moods based on facial expressions. 🌐 Web Development: 💻 Built the website using Flask to create a seamless and interactive user experience. 🎵 Music Integration: Integrated with Spotify API to curate playlists that match detected moods. Explored additional libraries like dlib and face_recognition for enhanced face detection capabilities. 🔗 Watch the Demo: Check out the video to see our mood-based music player in action! 🎬🎉 👥 Team Credits: A huge shoutout to Varesh Patel for his incredible collaboration and contributions throughout this project. This has been a team effort, and it wouldn't have been possible without his expertise and dedication. 🙏 Special Thanks: We would also like to extend our gratitude to Prof. Khyati Mehta from G.H. Patel College of Engineering and Technology for her constant guidance. 💡 Future Plans: We are excited about the potential of this project and look forward to develop a mobile application of the same. 📢 Connect with Us: We are eager to connect with fellow tech enthusiasts and professionals. Feel free to reach out if you're interested in discussing web development, machine learning, or potential collaborations! #MusicPlayer #FaceDetection #MachineLearning #Python #Flask #TensorFlow #Keras #SpotifyAPI #WebDevelopment
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https://lnkd.in/gNhHXMBZ 💡 AI: Revolutionizing Game Development in Seconds! 🤖🎮 Hey fellow coders! I’ve been experimenting with how AI can drastically speed up development processes. Take my Dino Game project—what used to take hours of coding and trial-and-error, can now be done in seconds with AI! 🙌 Thanks to AI, I’ve already built the game logic in Python with Pygame. But here's the exciting part: AI can help us add custom dino images and sound effects with ease! 🦖🔊 Imagine creating high-quality assets or generating code with just a few prompts. No more tedious manual adjustments! Now, I need YOUR help to take it to the next level: Add a cool dino sprite 🖼️ Add immersive sound effects 🎧 Enhance the game with your creativity using AI-powered tools! AI makes coding faster and more fun—combine your prompt engineering skills with your coding expertise to make this game even better in no time. Check out the game here: [Insert link to GitHub, Gist, or Pastebin] Let’s explore how AI can help us innovate faster, share ideas, and collaborate seamlessly! Tag a coder who loves experimenting with AI! 🤖🚀 #AI #MachineLearning #GameDev #Pygame #Coding #PromptEngineering #AIInCoding
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Level up your coding with Melty The AI-powered code editor for super engineers Melty isn't your average editor. It's your coding co-pilot, using smarts to help you write cleaner, better code, faster! → Here's how Melty makes you a coding rockstar: ✓ Understand your code better: Melty helps you grasp what your code is doing, not just typing lines. ✓ Smart code companion: It watches your changes, suggesting improvements like a coding buddy. ✓ Adapts to your style: Melty learns your coding habits, making suggestions tailored to you. ✓ Works seamlessly: Integrates with your favorite tools like compilers, terminals, and GitHub. Ready to write like a pro? Give Melty a try! #ai #editor #innovation #tech #trend #meta #openai
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ByteDance (aka owner of Tiktok) launched AI code editor, Trae, based on Visual Studio Code. And it's scary fast. How is the free?!! 🤯 Not sure If I trust it; makes me want to try cursor (paid). But it's way cool! Although, themes are limited to three choices. Ai competition is moving fast. Last week, I started using t3.chat way faster than any other ai client. Now this! 𝘓𝘦𝘢𝘳𝘯 𝘰𝘳 𝘨𝘦𝘵 𝘭𝘦𝘧𝘵 𝘣𝘦𝘩𝘪𝘯𝘥 𝘧𝘰𝘭𝘬𝘴! Thanks Wes Bos, for pointing me to Trae. #trae #cursor #ai #react
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🚀 Exciting updates from my journey at GameHub AI! Since May 2024, I've had the incredible opportunity to work as a Software Engineer Intern with the AI Training Team, and I'm thrilled to share some of the milestones we've achieved so far: ✨ Fine-tuned Stable Diffusion models using Aseprite-drawn datasets, leading to a 25% improvement in visual fidelity and style accuracy. 🖼️ Curated a dataset of 6,000 high-quality images, meticulously selected and labeled to enhance our training process and optimize model performance. 💻 Developed a full-stack web application for an AI image community platform with Django and React, which now supports a growing user base of over 50 members! As we approach the end of the model training stage, we're excited to deploy our methods and parameters to more general datasets. Additionally, I'm actively involved in building and deploying a new platform using AWS, bringing our innovative solutions to the general public. Looking forward to sharing more as we continue this journey of innovation and creativity in the AI space! #AI #SoftwareEngineering #StableDiffusion #FullStackDevelopment #MachineLearning #AWS #Django #React
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Introducing My Latest Innovation: AI Code Reviewer App! During my internship at Innomatics Research Labs, I had the incredible opportunity to develop the AI Code Reviewer App under the mentorship of Kanav Bansal Sir. This AI-powered tool is designed to help developers review their Python code with ease, providing instant feedback on bugs, logical errors, and areas of improvement, all with just a few clicks! How It Works: Developers input their Python code into the app. The app uses Google Generative AI to generate: A detailed bug report. Fixed code snippets with clear explanations. Users can refine their code quickly with actionable insights to improve quality. Technologies Used: Streamlit: For building a modern and responsive UI. Google Generative AI API: To enable advanced code analysis and debugging capabilities. #AI #Streamlit #GenerativeAI #CodeReviewer
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A new week ends with a new personal project Here's 𝗣𝗮𝗻𝘁𝗿𝘆 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 in Next.js and Firebase called GGPantry Tracker( Why GG check comments 😶 ) It's the our second week project at Headstarter SWE Fellowship. 𝗟𝗶𝘃𝗲 𝗟𝗶𝗻𝗸 : https://lnkd.in/dUZ9UidY 𝗚𝗶𝘁𝗵𝘂𝗯 𝗥𝗲𝗽𝗼: https://lnkd.in/d-MguCwF 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: - Manage Items and their Categories using CRUD - Searching Option - AI Recipe Generator - Item Image Recognition using AI - Authentication 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: - Next.js - Material UI - Firebase - Llama API - General Image Recognition using Clarifai It's my first Project so if it's possible, tell me how can I improve code as I just learn Next.js from this project. #headstarter #next.js #clarifai #Llama
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FOUNDER || AGENTIC AI || GENERATIVE AI || DATA SCIENTIST || AI LEADER || LLM || PROMPT ENGINEERING || MLOPS || LLMOPS || AI OPS ||RESEARCHER || || MULTI CLOUD EXPERT || FREELANCER CORPORATE TRAINER || TRAINER & MENTOR
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