👇 🚀 Introducing Smart Expense Splitter — Built with Python & Streamlit! 💸 Tired of the monthly struggle of splitting rent, electricity, and food bills? I built a simple yet powerful Streamlit web app that calculates and visualizes shared expenses with ease. Each person’s contribution is shown clearly with interactive charts and a clean, modern UI — making expense sharing fair and stress-free! 🧠 Tech Stack: Python | Streamlit | Plotly | Pandas 🔗 Try it live here: https://lnkd.in/dfvJxRiH 🎥 Check out the video below to see it in action — feedback and suggestions are always welcome! 💬 #Python #Streamlit #DataScience #AI #MachineLearning #WebApp #PortfolioProject #ExpenseTracker #Coding #Developers #Visualization

What used to take us weeks AI app development… now takes just a few hours with Python + Reflex. The result? Our agents finally have a UI Agents are powerful, but without a UI they stay stuck in the terminal Reflex turns them into real apps people can actually use and interact with Build full-stack web apps in pure Python : - Frontend + Backend in Python (no JS/HTML/CSS) - 60+ pre-built components - Real-time state management over WebSockets - One-click deployment I built multiple agent interfaces just by prompting : → Reflex generated the UI → Hooked up the backend logic → Live preview + OpenAI integration → All in minutes ⏳ All in minutes! 👉 Build here for free: https://lnkd.in/eWa6f8BP

Here's my latest side project: a Flask app for time series forecasting using ARIMAX & SARIMAX! It lets you: >Choose your own stock. >Tweak model parameters easily. >Visualize forecasts instantly. >Give you forecasted close prices in a tabular form. >Pull historical stock prices with yfinance. Built with Flask, and statsmodels for backend and bootstrap for the frontend. Try it out yourself here: https://lnkd.in/g_evsFev Checkout the github repo: https://lnkd.in/gbEyPDNi #Python #MachineLearning #TimeSeriesForecasting #DataScience #Flask #Trading #Investing

🚀 Exploring Streamlit – Where Python Meets Simplicity & Creativity 🎨 I recently started experimenting with Streamlit, and honestly, it’s been one of the most exciting discoveries in my Python journey! For those who haven’t tried it yet — Streamlit is an open-source framework that allows you to turn your Python scripts into beautiful, interactive web apps with just a few lines of code. No HTML, CSS, or JavaScript needed. From building dashboards, machine learning demos, and data exploration tools, to simple fun apps — Streamlit makes it all incredibly fast and intuitive.💡 What stood out for me is how seamlessly it blends data and design — you can go from a Jupyter notebook to a live web app in minutes, with features like: 🎛️ Real-time sliders, buttons, and forms 📈 Interactive charts (Plotly, Matplotlib, etc.) 💾 Easy data handling and visualization 🌈 Custom styling, animations, and even Giphys for creativity! As my assigned mini task, I built a small, colorful Unit Converter — nothing huge, but a perfect start to explore Streamlit’s magic. Every line of code reminded me that good tools make learning enjoyable — and Streamlit is definitely one of those tools that turn coding into a creative experience. I would like to express my sincere gratitude to my mentor Aneesha Parveen S K, for exceptional guidance throughout the session. #Streamlit #Python #DataScience #WebApps #LearningJourney #MachineLearning #DataVisualization #Innovation #Coding

🎮 Built a Rock-Paper-Scissors Game in Python — With a GUI Twist! Needed a break from dashboards and data pipelines, so I whipped up something fun: a Rock-Paper-Scissors game using Python and Tkinter! It’s a simple project, but packed with personality — and a great way to flex those GUI muscles. 💡 What it does: 1. You pick Rock, Paper, or Scissors — your move, your rules. 2. The computer picks too (randomly, like a squirrel on espresso). 3. You get instant results: win, lose, or tie — all with a splash of drama. There’s even a “Play Again” button, because let’s be honest… one round is never enough. 🏆 What you’ll see: 1. You Win! 🎉 Time to brag. 2. Computer Wins! 🤖 Bow to the silicon overlord. 3. It’s a Tie! 🍪 Everyone gets cookies. 🧰 Tech Stack: 1. Tkinter for the GUI 2. random for the computer’s chaotic energy 3. PIL and time if you want to get fancy with images or suspense 😄 Why I built it: Sometimes, you just want to code something playful. This project helped me brush up on event handling, GUI layout, and making Python feel like a game engine — minus the 3D headaches. Want to try it out or see the code? Drop a ✋ and I’ll send the warriors your way. #PythonProjects #PIL #Tkinter #RockPaperScissors #WeekendBuild #LearnByBuilding #PlayAgain

Built a Snake-Water-Gun Game in Python Just created my own version of the classic hand game - think Rock-Paper-Scissors with a twist! Had a blast building this mini project from scratch. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 How It Works: 🐍 Snake drinks Water 💧 Water rusts Gun 🔫 Gun shoots Snake ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ What I Built: Smart computer opponent with randomized moves Clean input validation system Multiple rounds with replay option User-friendly interface with instant feedback Modular, well-documented code structure ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 Skills Applied: This project helped me practice Python fundamentals including dictionary mappings, control flow logic, the random module, function-based architecture, and handling user input effectively. ━━━━━━━━━━━━━━━━━━━━ 🔗 Code available on GitHub : https://lnkd.in/dQjEDmW7 💬 Drop a comment if you'd like to see a tutorial walkthrough! Always excited to learn and build! 💻✨ #Python #PythonProgramming #Coding #Programming #LearnToCode #Developer #SoftwareEngineering #TechProjects #CodeNewbie #PythonProjects #OpenSource #GitHub #BuildInPublic #DeveloperCommunity

Today, I’m excited to share a project that showcases the power of Python in building real-world web tools: My Google-Style Unit Converter Web App! Developed using Python, Streamlit, and the Anaconda environment, this application provides instant, accurate conversions for Length, Weight, and Temperature units through a clean, interactive interface. Here’s what went into it: ✅ Dynamic Conversion Logic: Handles multiple categories and unit types using scalable dictionary-based structures. ✅ Formula-Driven Accuracy: Implements real-world conversion formulas, including precise temperature conversions. ✅ Interactive UI: Real-time value updates powered by Streamlit’s reactive components. ✅ Robust Structure: Clean, maintainable code ready for future extensions (like currency or time conversions). This project reflects my ability to design, develop, and deploy simple yet effective Python web apps that solve everyday problems efficiently. 🔗 Live App: https://lnkd.in/dAVn5hJE 💻 Source Code: https://lnkd.in/djNpv9jS #Python #Streamlit #WebDevelopment #PortfolioProject #FirstProject #CodingJourney

💡 "Just launched my Streamlit Calculator App — built using GitHub & Python! A small step forward in my data analytics journey 🚀" Every project starts with a small idea — and this time, it turned into a Calculator App built using GitHub and Streamlit. 💻 What began as a simple Python script soon became an interactive web app that anyone can use online. Through this project, I learned how to connect coding, version control, and deployment — from managing the code on GitHub to deploying it live using Streamlit. As a data analytics learner, this project helped me strengthen my practical understanding of Python, logic building, and UI design — skills that form the foundation of every data-driven application. Projects like these remind me that every small creation brings me closer to real-world problem solving. 🚀 🔗 Try it here: https://lnkd.in/eYFUxUF5 #Python #Streamlit #GitHub #DataAnalytics #PythonProjects #WebApp #LearningByDoing #AnalyticsJourney #CodingLife #BuildInPublic #DataDriven

🌦️ My Simple Weather App Task 🌍 Hey everyone! 👋 I just created a Weather App that shows real-time weather updates for any city — built using Python (Flask) for the backend and HTML + JavaScript for the frontend. ✨ Features: Fetches live weather info like temperature, humidity, and condition Shows detailed location (city, state, country ) Simple and colorful dashboard layout Smooth data fetch using API integration 💻 Tech Stack: Python | Weather API 🎥 This video demonstrate the execution of the entire Task. #oasisinfobyte #intership #python #WeatherApp #Flask #APIIntegration #CodingJourney

💡 Project Overview: •The app allows users to:View multipletravel destinations with images •Navigate between tabs (Home, Settings, About) •Click Info buttons to view travel image sets dynamically •Select an age range from the sidebar and view matching users in a clean table format 🎯 Learning Outcomes: •Learned how to design interactive dashboards using Streamlit. •Understood state management and conditional rendering in web apps. •Improved understanding of layout control (columns, tabs, sidebars). •Practiced integrating logic and visuals smoothly in a single Python app. 🔗 Summary: This project was a great hands-on experience to understand how Streamlit can quickly transform Python scripts into beautiful, interactive web applications — ideal for data visualization, filtering, and dynamic content display. Linked:https://lnkd.in/g_7-j4tY A big thank you to Chaitanya Madakasira sir for guiding me through this learning journey. #Python #Streamlit #WebDevelopment #MiniProject #DataApp #LearningByDoing #TravelExplorer #MachineLearningJourney #ProjectShowcase