🚀 Just built my first Video Compilation Page in HTML! 🎬
✔️ Structured with <main> and <section>
✔️ Embedded YouTube videos with <iframe>
✔️ Organized headings & descriptions
Excited to keep improving! 💻✨
#HTML#WebDevelopment#CodingJourney
(📸 Screenshot below 👇)
🌍 Just built my first Travel Agency Page with HTML!
✅ Learned how to use:
Headings (<h1>, <h2>)
Paragraphs & lists
Links with target="_blank"
Images inside <figure> + <figcaption>
📸 Here’s a preview ⬇️
#100DaysOfCode#freeCodeCamp#HTML#WebDevelopment
💻 Just built my first recipe page using HTML! 🍽️
Titled it: Fried Plantain 😋
✅ Added headings
✅ Ingredient list
✅ Step-by-step instructions
✅ An image to finish it off!
Excited to keep improving my web dev skills 🚀 #100DaysOfCode#WebDev#HTML
🚀 Just built an Invoice Scanner App with Streamlit + TensorFlow + OCR!
Upload a PDF/image → it extracts invoice number, date & total 🔍📄
📸 Screenshot below
Next step: deployment!
#Python#MachineLearning#OCR#Streamlit
🎬 Just finished my Hybrid Movie Recommendation System!
✅ Personalized recommendations
✅ Fuzzy search & genre filters
✅ “Why?” explanations for each movie
Built with Python & Streamlit
#MachineLearning#Python#RecommenderSystems#AI#Streamlit
🚀 Progress Update
Just integrated secure login authentication into my E-Commerce Review Summarizer & Sentiment Analyzer! Now it’s:
✅ User-specific dashboards
✅ Real-time sentiment analysis (VADER/TextBlob)
✅ CSV & manual review support coming next
Building piece by piece🔥
🚀 Work in progress: My E-Commerce Review Summarizer & Sentiment Analyzer 🛒✨
Built with Python, Streamlit, Sumy, & VADER — lets you upload CSVs, summarize reviews, and analyze sentiment in one click!
Still in dev mode… but it’s coming together! 💻🔥
#Python#MachineLearning
🎉 Just earned my "Revisiting Python Essentials" certificate from CodeSignal!
Python skills: sharpened ✅
Algorithm knowledge: leveled up 🚀
🐍💻 Excited to put these into action!
#Python#Programming#CodeSignal#100DaysOfCode
🌸 Just launched another Machine Learning app!
It’s an Iris Flower Classifier 🌿 — predicts the species of a flower from sepal & petal measurements.
🧠 Built with #Python, #scikitLearn & #Streamlit
🚀 Deployed on Streamlit Community Cloud
🖥️ Try it live:
…-qit2qcihaa4hp5xttgdhve.streamlit.app
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