Dhanraj84/InfraCharge
AI-powered EV charging platform with nearest station finder, CO₂ comparison, smart route planning, and AI-based EV infrastructure location analysis using Map and Weather APIs.
⚡ InfraCharge – Intelligent EV Charging Infrastructure Platform
InfraCharge is a data-driven platform designed to improve how EV users find charging stations and how planners decide where new stations should be built.
It combines real-time maps, AI-based demand insights, and environmental analysis to support smarter EV mobility and infrastructure planning.
🚀 What Problem Does It Solve?
EV adoption is growing, but charging infrastructure is still uneven and hard to navigate.
InfraCharge helps:
- EV users quickly find nearby charging stations
- Reduce range anxiety with smarter route planning
- Identify underserved areas with low charging availability
- Support data-backed decisions for new station deployment
- Promote sustainable travel through CO₂ comparisons
🧠 How It Works
The platform uses geospatial data and basic AI logic to analyze:
- Traffic density and vehicle movement
- Existing charging station distribution
- Demand patterns and infrastructure gaps
- Nearby amenities and accessibility
- Weather and environmental factors
This enables practical, data-driven suggestions instead of guess-based planning.
✨ Core Features
🔍 Smart Charging Station Locator
- Detects user location automatically
- Displays nearest EV charging stations on an interactive map
- Provides navigation-friendly access
🧠 AI Infrastructure Planning Engine
- Recommends optimal locations for new stations
- Highlights underserved zones
- Helps governments and businesses plan investments
🌱 CO₂ Impact Comparison
- Compares EV emissions with fuel vehicles
- Encourages environmentally conscious travel
🧭 Smart EV Route Planner
- Suggests routes based on charging availability
- Improves trip reliability
- Helps reduce range anxiety
🌍 Real-Time Map & Weather Insights
- Interactive geospatial visualization
- Weather-aware usage context for better planning
🛠 Tech Stack
Frontend
- Next.js
- React.js
- Tailwind CSS
APIs & Data
- Map API
- Weather API
- OpenChargeMap API
AI / Logic
- Demand prediction (rule-based / data-driven)
- Location optimization approach
- Infrastructure gap analysis
📊 Real-World Impact
InfraCharge aims to contribute to:
- Faster EV adoption
- Smarter infrastructure investment
- Reduced carbon emissions
- Sustainable smart city planning
📸 Project Preview
Screenshots will be added soon.
🎥 Demo
Demo video will be added soon.
🔮 Future Improvements
- Real-time charger availability
- Demand forecasting using historical data
- User reviews and station ratings
- Mobile application version
- Integration with EV manufacturers and IoT charging networks
🧩 Challenges Addressed
| Challenge | InfraCharge Approach |
|---|---|
| Finding charging stations | Smart locator with live map |
| Uneven infrastructure | AI-based location insights |
| Range anxiety | Route planning with charging stops |
| Lack of awareness | CO₂ comparison dashboard |
👨💻 Author
Dhanraj Kumar
Passionate about building practical AI solutions for sustainability and mobility.