🧑‍⚕️ Day 1 & 2 of the #FutureTechChallenge with @DecodingDataScience! Kicking off my build for AI Mid-Care — a calm, caring healthcare assistant that helps users log symptoms, track health, and receive gentle advice. Here’s what I’ve built and up next: #AIApplicationChallenge

Day 1 – Ideation + Planning ✅ Finalized the idea: AI Mid-Care ✅ Problem: Users need empathetic, not robotic, health replies ✅ Goal: Personalization based on name, age, gender & medical history ✅ UX: Designed a clean, soothing Streamlit interface for a comforting feel

Day 2 – Setup + Integration ✅ Google Gemini 1.5 Flash API connected ✅ SQL DB created for symptoms + medical history ✅ Matching logic (name, gender, age) now working ✅ Prompting dynamically adjusts based on health data ✅ GitHub repo set up ✅ Stack: Python + Flask +Streamlit

Coming Up Next 🗣️ Voice input support 📄 Export chat & logs to PDF 🧾 Upload scan reports & receive AI summaries 📊 7-day symptom pattern analysis ✨ Daily positive affirmations 🤖 AI that prioritizes current symptoms in real-time

Thank you so much @arshad83 for the opportunity and mentorship during this #AIApplicationChallenge! Excited to continue learning and building through this journey. #DecodingDataScience #FutureTechChallenge

Day 3 of #FutureTechChallenge by @DecodingDSAI Building AI Mid-Care -a gentle healthcare assistant Integrated @Google Gemini API Refined prompts for calm, useful responses UI updated to feel more minimal + soothing Working on thoughtful user support tools Thanks @arshad83

Day 4 – #FutureTechChallenge Update Still building quietly, still pushing forward. Today in AI Mid-Care: ✅ Improved reply clarity & tone ⚠️ Added friendly safety messages 🎨 UI polished for a calm experience 🛠️ Backend smarter & cleaner Thank you @DecodingDSAI @arshad83