ACtimize is an AI-powered assistant that helps users estimate and optimize their electricity cost based on their AC usage patterns. It combines Machine Learning (XGBoost) for accurate predictions and LLM-powered reasoning to give actionable suggestions for energy savings.
- 🔍 Predict electricity cost using your AC usage and room parameters
- 🧠 Agentic AI using LangGraph for dynamic reasoning and ML tool calling
- 🖥️ React frontend for clean, simple user interaction
- ⚙️ XGBoost model trained on synthetic data
- 💡 Gives cost-saving tips based on your input
| Layer | Tech Used |
|---|---|
| Frontend | React (Vite) |
| Backend | Flask + LangGraph |
| ML Model | XGBoost (scikit-learn) |
| LLM | Groq + LangChain Agents |
| State Mgmt | LangGraph State Machine |
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🧾 User enters:
- AC usage hours
- Room size
- Outside temperature
- Set temperature
- AC type (tonnage)
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📊 ML model predicts electricity cost.
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🧠 LLM receives prediction and suggests energy-saving tips.
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💬 Response is shown in the frontend in natural language.
