Building AI Web App with Python and Flask

From UI → working product 👇 Here’s a quick demo of the expense tracker I built using Python 💰 In this version (v1), you can: • Add income & expenses • Track balance instantly • View transaction history • View analytics & insights Built this to better understand my own spending habits — and it turned into a full working app. Currently improving it and planning to deploy it soon 🚀 Watch till the end to see insights 👀 Would love your feedback 🙌 #Python #Streamlit #WebDevelopment #BuildInPublic #SoftwareDevelopment #StudentDeveloper #Projects #LearningInPublic

Yesterday, I built something small… but it taught me a LOT. I created a Typing Speed Test desktop app using Python ⌨️ At first, it sounded simple: “Just display some words and calculate speed, right?” Yeah… not quite 😅 I quickly ran into questions like: How do I update the UI after 30 seconds automatically? How do I remove widgets and replace them with results? How do I make sure words don’t repeat randomly? And how do I actually calculate WPM correctly? That’s when things got interesting. I ended up building it entirely with Tkinter — and honestly, I feel like people sleep on it. It’s not flashy, but it forces you to really understand how GUIs and event-driven systems work under the hood. Here’s what the app does: → Generates 40 random words (no duplicates) → Starts a 30-second timer → Tracks how many words you type → Calculates your WPM → Saves your high score (so you can try to beat yourself 👀) The biggest lesson for me wasn’t even the code… It was realizing how “simple projects” quickly become complex when you try to make them feel real. That’s where the real learning happens. Next, I want to improve the accuracy system, polish the UI, and maybe turn it into something more interactive. If you’ve ever built something that looked easy at first but humbled you halfway through… you know the feeling 😄 You can check out how it works in the video below. #Python #Tkinter #BuildInPublic #CodingJourney #SoftwareDevelopment #100DaysOfCode

As part of my data science journey, I developed this interactive app using the Open-Meteo API. It fetches live weather data and displays current conditions along with a 24-hour interactive forecast. 🔗 Live App: https://lnkd.in/e8Y5hHZx I'd love for you to search your city and share your feedback! 👇 #Python #DataScience #Streamlit #DataVisualization #API

Remember the Invisibility Cloak? 🫥 Last week's post hit 15,000+ impressions, around 10,000 people reached. I said the next step was a desktop app and an APK. Here is the update. https://lnkd.in/dYen2wvS Desktop app? Done. One file, download, open, run. No Python, no terminal, no setup. Just the cloak doing its thing. Web app? Also done.  Try it here: https://lnkd.in/dWhZDFaB Open it, allow camera, that is it. APK is still in progress but it is coming. The core is still the same Python, OpenCV, NumPy. Code kept clean and documented for future use and applications because this concept goes way beyond a fun demo. Going from a script that only runs on one machine to something anyone can just open and try, that is the part that feels good. We are getting there. #Python #OpenCV #ComputerVision #NumPy #InvisibilityCloak #Tech #Coding #PythonProjects #OpenSource

I got tired of "Wall of Text" recipes, so I built a solution! I’ve been working on a personal project called RecipeAI, a Django-powered web app designed to streamline the "Plan → Shop → Cook" workflow. Key Features I implemented: Smart Scraper: One-click import that cleans up the "blog noise." Drag-and-Drop Planner: A tactile weekly calendar built with SortableJS. Dynamic Scaler: Instant math to double or halve portions on the fly. Automated Grocery List: Logic that consolidates duplicate ingredients across the whole week. I still want to add more and make it look cleaner, but Im happy with how it looks so far. It’s been a great exercise in full-stack Python/Django development and responsive UI design. Check out the demo below! 👇 #Django #Python #WebDevelopment #BuildInPublic #SoftwareEngineering #MealPrep

Have a React application but need 3D visualization and dataset processing? Instead of redesigning your UI, integrate trame directly into your React app with just a few lines of code. trame-react brings: 🔹 Python-powered server-side computation 🔹 Real-time data synchronization 🔹 Integration with VTK, ParaView, or 3D Slicer 🔹 WebSocket-based state updates between React and Python Here’s how to get started: 🔗https://ow.ly/BF1p50Yq8pC #trame #ReactJS #VTK #ScientificVisualization #WebDevelopment #Python

Your app crashed. A user got a blank screen. No error message. No recovery. That's what happens when you skip exception handling. 😬 Here's the thing — errors WILL happen in every app: → User types text where a number is expected → API goes down mid-request → Division by zero in your logic → File doesn't exist at the path you assumed The question isn't IF errors happen. It's whether your app handles them gracefully. Python's try/except block is your safety net: try: risky_code() except ValueError: handle_it() except ZeroDivisionError: handle_it_differently() finally: always_runs() I use this in every single Flask route I build — especially when calling external APIs where anything can go wrong. Clean error handling = happy users + easier debugging. Save this post for your next project 🔖 #Python #PythonDeveloper #ExceptionHandling #CleanCode #BackendDevelopment #Flask #LearnPython #100DaysOfCode #TechStudent #BuildInPublic #Programming #IndianDeveloper #SoftwareDevelopment #CodeNewbie

🚀 Just built a fun & interactive Python app! Introducing my Weekly Meal Planner 🍽️ — a colorful Tkinter GUI app where you can: Pick any day of the week 🗓️ Choose Breakfast, Lunch, or Dinner 🍳🥗🍝 Get random meal suggestions with fun emojis See meals displayed in a color-coded, easy-to-read calendar This project was a great way to practice Python GUI programming and make coding interactive and visually appealing! 💡 Tip for beginners: Start small, use lists & random module, and build interactive apps step by step. Would love to hear your ideas — what other Python apps should I try next? 💬 #Python #Tkinter #Coding #PythonProjects #GUI #MealPlanner #ProgrammingFun #LearningByDoing Follow for more Projects : https://lnkd.in/euEAU8qT

Project Showcase: AudioFile-to-Text Web App I just built a Speech-to-Text Converter using FastAPI and Python! 🎤 Features: Upload any audio file (MP3, WAV, M4A) Instantly converts speech into text using Google Speech Recognition API Lightweight and easy to deploy Simple frontend with HTML/CSS/JS 💻 Tech Stack: Python | FastAPI | pydub | SpeechRecognition | JavaScript Check it out on GitHub: https://lnkd.in/gxtUBYn8 Special thanks to [Pawan Sharma] for guiding me through backend development and API integration. Your training made this project possible! #Python #FastAPI #WebApp #SpeechToText #ProjectShowcase #MachineLearning #OpenSource

𝘼 𝟐𝙂𝘽 𝘿𝙤𝙘𝙠𝙚𝙧 𝙞𝙢𝙖𝙜𝙚 𝙞𝙨 𝙖 𝙙𝙚𝙥𝙡𝙤𝙮𝙢𝙚𝙣𝙩 𝙗𝙤𝙩𝙩𝙡𝙚𝙣𝙚𝙘𝙠. I was building a GenAI API and the image size was massive. Every deploy took forever. Then I switched to multi-stage builds. Here is the exact snippet that cut the size by 70%: # 𝘚𝘵𝘢𝘨𝘦 1: 𝘉𝘶𝘪𝘭𝘥 𝘍𝘙𝘖𝘔 𝘱𝘺𝘵𝘩𝘰𝘯:3.10-𝘴𝘭𝘪𝘮 𝘈𝘚 𝘣𝘶𝘪𝘭𝘥𝘦𝘳 𝘞𝘖𝘙𝘒𝘋𝘐𝘙 /𝘢𝘱𝘱 𝘊𝘖𝘗𝘠 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘮𝘦𝘯𝘵𝘴.𝘵𝘹𝘵 . 𝘙𝘜𝘕 𝘱𝘪𝘱 𝘪𝘯𝘴𝘵𝘢𝘭𝘭 --𝘵𝘢𝘳𝘨𝘦𝘵=/𝘢𝘱𝘱/𝘥𝘦𝘱𝘴 -𝘳 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘮𝘦𝘯𝘵𝘴.𝘵𝘹𝘵 # 𝘚𝘵𝘢𝘨𝘦 2: 𝘙𝘶𝘯 𝘍𝘙𝘖𝘔 𝘱𝘺𝘵𝘩𝘰𝘯:3.10-𝘢𝘭𝘱𝘪𝘯𝘦 𝘞𝘖𝘙𝘒𝘋𝘐𝘙 /𝘢𝘱𝘱 𝘊𝘖𝘗𝘠 --𝘧𝘳𝘰𝘮=𝘣𝘶𝘪𝘭𝘥𝘦𝘳 /𝘢𝘱𝘱/𝘥𝘦𝘱𝘴 /𝘢𝘱𝘱/𝘥𝘦𝘱𝘴 𝘊𝘖𝘗𝘠 . . 𝘌𝘕𝘝 𝘗𝘠𝘛𝘏𝘖𝘕𝘗𝘈𝘛𝘏=/𝘢𝘱𝘱/𝘥𝘦𝘱𝘴 𝘊𝘔𝘋 ["𝘱𝘺𝘵𝘩𝘰𝘯", "𝘢𝘱𝘱.𝘱𝘺"] The logic is simple: • 𝙎𝙩𝙖𝙜𝙚 𝟏 installs dependencies in a full environment. • 𝙎𝙩𝙖𝙜𝙚 𝟐 copies only the artifacts needed to run. No build tools. No cache. Just the app. Smaller images mean faster scaling and cheaper storage. 𝘼𝙧𝙚 𝙮𝙤𝙪 𝙨𝙩𝙞𝙡𝙡 𝙪𝙨𝙞𝙣𝙜 𝙨𝙞𝙣𝙜𝙡𝙚-𝙨𝙩𝙖𝙜𝙚 𝙗𝙪𝙞𝙡𝙙𝙨 𝙛𝙤𝙧 𝙝𝙚𝙖𝙫𝙮 𝙖𝙥𝙥𝙨? #Docker #DevOps #Python #PlatformEngineering #ShreyasTech