Adam Chan’s Post

As part of my recent coursework, I had the unique opportunity to blend my enduring passion for model cars with my burgeoning skills in Python and data visualization. The outcome? An engaging and interactive web application that enables users to delve into and visualize model car data! 🚗📊 Leveraging the robust Streamlit framework, I developed this app to offer an intuitive and interactive experience for exploring model car data. This project was not merely a coding exercise but a testament to my enthusiasm for model cars and my commitment to creating something valuable and impactful. Check out the app here: https://lnkd.in/gJaTXm4C Explore the code on GitHub: https://lnkd.in/gAhmKUEa I want to extend a big thank you to my incredible professors Prof. Manojkumar Patil, Prof. Lalith Achoth, and Prof. Vedamurthy. Their guidance and mentorship were crucial in bringing this project to fruition, and I am deeply grateful for their support and contribution to my growth. This project has been an amazing learning journey, and I'm excited to see where this knowledge will take me next. It was a great opportunity to combine my passion and knowledge! #Streamlit #Python #DataVisualization #WebDevelopment #MachineLearning #DataScience #ModelCars #InteractiveApps #Programming #Coding #TechProjects #StudentProjects #AI #Technology #Innovation

Day 12 of My 100 Days of Code Challenge Today's focus was on reinforcing my knowledge and tackling new challenges: Data Structures and Algorithms: -Rotate List: Solved the problem of rotating a linked list to the right by a given number of places. Development with Flutter: -Revision: Spent time revising all the topics I've covered so far in Flutter, ensuring a strong understanding of widgets, state management, and code organization. #100DaysOfCode #CodingChallenge #DataStructures #Algorithms #Flutter #Dart #LearningJourney #Development

Excited to share my latest experiment on #Flutter! 🚀 Implemented Subject Segmentation Model provided by Google's Machine Learning Kit, seamlessly integrating it via Flutter Method Channel. This model doesn’t have any direct support for Flutter out of the box. The platform-specific code was written in Java and accessed via Flutter Method Channel API. View Source Code ➡ https://lnkd.in/gFuxQH8R More on Subject Segmentation ➡ https://lnkd.in/gnpnnMGX Checkout my portfolio 💬 https://tanvirrobin.tech/ #MachineLearning #GoogleMLKit #ImageProcessing

Diving deep into local data management with Flutter! Just finished building a simple notes app focusing solely on implementing Hive local storage. It's been a great learning experience to understand the core concepts and potential of Hive for managing app data. Huge shout-out to Asif Taj for the insightful tutorials! #flutter #hive #localstorage #appdevelopment #coding #devlife

So you've build a nice ML model in a jupyter notebook, huh? If you're wondering how you can share your work with the world, you might want to consider reading this article where I share how you can build a multi page data-driven web app using the streamlit framework.

🚀 **New Project Alert!** 🚀 I'm excited to share my latest project, the **Education Lead Conversion Model**, now live on my website! 📊 In this project, I built a machine learning model to predict which leads are most likely to convert for an educational company, helping optimize marketing and sales efforts. It includes exploratory data analysis, feature selection, and a live demo with **Streamlit**! 🔗 Check it out here: [https://lnkd.in/di4Cgd7P] 💻 Try the live app: [Streamlit App](https://lnkd.in/dQp2Mh2M)   📂 Explore the code: [GitHub](https://lnkd.in/djzFw5CU) Let me know your thoughts and feedback! 😊 #MachineLearning #DataScience #LeadConversion #Streamlit #Python

If you're building an AI powered application, you want to just get something published to get quick user feedback, not implement 10,000 lines of React boilerplate. I've found the simplest possible stack for building a GPT wrapper app is HTMX and Flask, where you only use Python and HTML to make dynamic web apps. Let me introduce our latest course on Vexpower "We need a simple web app for our GPT wrapper", where you can learn all about HTMX and Flask. Link: https://buff.ly/3yFkDf1

If you're building an AI powered application, you want to just get something published to get quick user feedback, not implement 10,000 lines of React boilerplate. I've found the simplest possible stack for building a GPT wrapper app is HTMX and Flask, where you only use Python and HTML to make dynamic web apps. Let me introduce our latest course on Vexpower "We need a simple web app for our GPT wrapper", where you can learn all about HTMX and Flask. Link: https://buff.ly/3yFkDf1

Day 20 of My 100 Days of Code Challenge Today's journey involved solving a complex DSA problem and enhancing my Flutter project: - Data Structures and Algorithms: Subset Sum Problem: Tackled the subset sum problem, which involves determining if there is a subset of a given set with a sum equal to a given target. This problem helped sharpen my skills in dynamic programming and recursion. - Development with Flutter: Adding a Data Model and Dummy Data: Enhanced my Flutter project by adding a data model and incorporating dummy data. This step is crucial for testing and visualizing how the app will handle real-world data. #100DaysOfCode #CodingChallenge #DataStructures #Algorithms #Flutter #Dart #LearningJourney #Development

Thrilled to share my project, Today I deployed my "IPL Score Predictor " by using Streamlit App. I have attached the link ,please have a look and give me your valuable feedback. #python #ML #data #streamlit #linkedin #datascience #dataanalyst