Fast Fashion is killing the planet.
styleis.tech (Style-is-dot-Tech) is a full-stack web app that helps users track their outfits, get insights on what they don’t actually wear, and encourages sustainable behavior by recommending local donation options.

Most of us own clothes we never wear — yet someone out there could really use them.
We built styleis. tech to close that loop: help people understand their real clothing habits and make donating easy, accessible, and data-driven.

Pitch Deck Slides

• 👕 Document Outfits: Users can log what they wear each day.
• 🔍 Reality Check: The app analyzes usage over time and identifies underused clothes.
• 🎁 Smart Donations: Recommends local donation centers where those clothes could go.
• 📦 Donation Basket: Users can review, confirm, and prepare their donation list with a single tap.
• 🌤 Bonus: Integrates weather and location APIs for smart outfit recommendations.

Frontend:

• React.js
• Tailwind CSS
• REST API integration with Flask backend

Backend:

• Python Flask
• Firebase (Authentication + Realtime DB)
• Amazon S3 (Storage)
• External APIs: Weather API, Location API

Infrastructure:

• RESTful architecture
• Modular routes & controllers
• JSON-based communication between React and Flask

git clone https://github.com/anishrajpandey/styleistech.git
cd styleistech

cd backend python3 -m venv venv source venv/bin/activate # (Mac/Linux) pip install -r requirements.txt flask run

cd frontend
npm install
npm run dev

🧠 Challenges We Faced

Integrating Flask APIs with React and Amazon S3 for the first time.

Designing a user experience that feels intuitive without tutorials.

Iterating quickly under hackathon constraints while keeping the product vision intact.

🏆 Accomplishments

Built a working full-stack MVP in under 24 hours.

Developed a statistics algorithm that identifies unused clothes based on outfit logs.

Created a clean, intuitive interface that turns sustainability into something fun and rewarding.

🧭 What We Learned

The power of rapid collaboration under pressure — 80% of the MVP was done in the first 20% of our time.

Cross-disciplinary teamwork between 4 different engineering majors.

How thoughtful design decisions can shape real-world sustainable impact.

🔮 What’s Next

🤳 AI-powered closet scanning — add clothes via photos.

🖼 Tinder-like swipe interface for wardrobe sorting.

🗣 User research & feedback-driven iterations to explore real-world adoption and monetization potential.

🤝 Team

Built at HackTX 2025 by a team of four students passionate about sustainability, tech, and design.

Anish Raj Pandey – Full Stack Developer

(Add teammates and roles if applicable)

📜 License

This project is open-source under the MIT License .