"🌿 A Green Leap Forward — Smarter, Greener Code"

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📌 About

CodeLeaf AI is an AI-powered platform that measures and optimizes the carbon footprint of software.
It empowers developers and enterprises to write energy-efficient code, track emissions, and align coding activities with Environmental, Social, and Governance (ESG) goals.

Built for students, professionals, and teams, CodeLeaf AI provides actionable insights, AI-driven code optimization, and ESG-compliant reporting to foster sustainable software development.

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✨ Key Functionalities

Phase 1 — Core ESG Features (MVP)

• Multi-language carbon estimation (Python, C, C++, Java, JavaScript, SQL).
• Automatic detection of programming language.
• Code optimization suggestions to reduce CO₂ footprint.
• Real-time dashboard with:
  • Estimated CO₂ (kg)
  • Energy consumption (kWh)
  • Environmental equivalents (e.g., powering a 10W LED)
  • Session-level emission trends.

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Phase 2 — ESG Insight Layer

• Auto-generated ESG reports (PDF/HTML) for each coding session.
• Eco-efficiency scoring combining code performance and emissions.
• ESG Compliance Badges (Bronze, Silver, Gold based on emission reduction).
• Developer profiles with gamification and leaderboards.
• Emission budgeting & alerts for sustainable coding thresholds.

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Phase 3 — Enterprise & Data Science Integration

• ESG Data Integration APIs for SASB, GRI, TCFD frameworks.
• Smart recommendation engine: ML-powered code optimization suggestions.
• Green infrastructure awareness:
  • Compare emissions across cloud regions, hardware setups, and runtime environments.
  • Suggest carbon-optimal deployment options.

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Phase 4 — ESG Governance & Trust Layer

• Carbon Credit Ledger (Blockchain integration) to record emission reduction events.
• Issue verifiable GreenNFTs for ESG audits.
• ESG Risk & Compliance Engine to flag emission-heavy code.
• Responsible AI Dashboard tracking AI model energy consumption.
• Community ESG Repository for sharing optimized green code.
• Gamified leaderboard to promote sustainable coding contributions.

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🚀 ESG-Centric Development Roadmap

Phase	Duration	Key Deliverables	ESG Impact
1 – Core ESG Features	1–2 months	Multi-language carbon estimation, code optimization suggestions, real-time dashboard	Direct measurement and optimization of emissions
2 – ESG Insight Layer	2–3 months	ESG report generation, eco-efficiency scores, developer profiles	Actionable insights & awareness
3 – Enterprise Integration	2–4 months	Enterprise APIs, smart recommendations, green deployment suggestions	Corporate ESG integration
4 – ESG Governance & Trust	3–6 months	Blockchain ledger, ESG risk engine, responsible AI dashboard, community repo	Governance, transparency, sustainable ecosystem

ESG Pillar Alignment

• Environmental: Carbon estimation, optimization, green deployment
• Social: Developer profiles, gamification, community ESG repository
• Governance: Blockchain-based audit, ESG risk engine, responsible AI monitoring

Investor Pitch Highlights

• Innovation: First AI-driven code emission tracker for developers.
• Sustainability: Quantifies developer carbon footprint in real-time.
• ESG Integration: Aligns with corporate ESG frameworks (SASB, GRI, TCFD).
• Scalability: Multi-language, multi-cloud, enterprise-ready.
• Gamification & Awareness: Encourages sustainable coding habits globally.

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🛠️ Tech Stack

• Frontend: Streamlit (UI & Dashboard)
• Backend: Flask (Python API)
• AI Models: Hugging Face Inference API (Qwen, CodeT5, StarCoder)
• Carbon Tracking: CodeCarbon
• Visualization: Plotly + Pandas
• Version Control: Git + GitHub

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⚡ Quick Start

1️⃣ Clone the Repository

git clone https://github.com/<your-username>/codeleaf-ai.git
cd codeleaf-ai

2️⃣ Create Virtual Environment

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python -m venv venv
# Linux/Mac
source venv/bin/activate
# Windows
venv\Scripts\activate

3️⃣ Install Dependencies

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pip install -r requirements.txt

4️⃣ Add Hugging Face Token

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HF_TOKEN=hf_xxxxxxxxxxxxxxxxx

5️⃣ Run Backend

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cd backend
python app.py

6️⃣ Run Frontend

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cd frontend
streamlit run app.py

Made with ❤️ by Leaf Core Labs

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