✅ Completed my second end-to-end project! This one wasn’t just ML or data science, it involved deep software engineering + data analysis. 💬 Project: WhatsApp Chat Analyzer → Upload your raw .txt WhatsApp file → It automatically cleans & preprocesses the data → Converts it into a clean DataFrame (this was the most challenging part!) → Then flows through the full pipeline: → data_ingestion.py → loads and validates → pipeline.py → connects all pieces → utils.py → handles all analysis logic → app.py → Streamlit UI 🔍 Special Features & Insights → Works for both group and individual chats → You can view overall stats or filter by a specific user → Generates wordclouds, timelines, media stats, and more → Hinglish + English stopwords removed — specially designed for Indian chat patterns → Punctuations are filtered for cleaner analysis → Clean visualizations like bar charts + most active user info→ Works with any .txt file exported from WhatsApp 🔧 How to Use the App → Upload your .txt file → By default, it analyzes “Overall” → Change the user if needed → Click on “Show Analysis” to generate the stats → (Don’t skip that last step!) 🔗 Try the App → Website: https://whatsapp-chat-analyzer-by-zain.streamlit.app/ → GitHub: https://github.com/Zainulabidin-Shaikh/WhatsApp-Chat-Analyzer → It’s open-source — feel free to clone, extend, or contribute! 🗣️ I’d love your feedback → Test the app using your personal or group chats → Let me know what you think → Repost and share it with your friends