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🐾 Petgram – Instagram for Pets, Reimagined with AI and Blockchain

💡 Inspiration

As a pet lover and tech enthusiast, I wanted to build something that truly captured the joy pets bring to our lives. Seeing how popular pet accounts are on platforms like Instagram, I envisioned a dedicated space—Petgram—where pets are the main stars. I was also inspired by the possibilities of AI for emotion detection and Dogecoin-based rewards, combining fun, social impact, and cutting-edge tech.

🐶 What it Does

Users upload pet images and videos.
An AI Emotion Detector analyzes the pet's mood (happy, playful, sad, etc.).
The app suggests auto-generated captions and emojis based on the detected mood.
Users earn PawPoints (Dogecoin-backed rewards) based on post engagement like likes and comments.
Points can be donated to pet shelters or redeemed for goodies (simulated in V1).

🛠️ How We Built It

Frontend: React + TailwindCSS
Backend: Flask API for handling uploads, AI inference, and rewards logic
AI Model: Pre-trained CNN model for emotion detection on pet images
Database: Firebase Authentication & Firestore for users, posts, and points
Blockchain (Simulated): A Dogecoin-inspired reward system (PawPoints) for post engagement

🧩 Challenges We Ran Into

Most pre-trained models are designed for human emotion detection. Training or adapting one for pets took experimentation.
Simulating blockchain rewards without a fully live Dogecoin wallet required creative placeholder logic.
Ensuring performance of AI inference without slowing down the user experience was tricky.
Designing gamification in a way that rewards genuine content, not spammy posts.

🏆 Accomplishments That We're Proud Of

Integrated AI emotion detection into a social feed for the first time.
Created a working prototype with seamless UX and reward logic.
Designed a reward system that links crypto (Dogecoin) with pet content creation.
Built a platform that could scale into something both fun and socially impactful.