FinergyCloud is a comprehensive full-stack renewable energy investment platform that leverages artificial intelligence, advanced analytics, and sustainable finance to democratize access to clean energy investments. The platform combines cutting-edge technology with financial modeling to provide AI-powered investment predictions, ESG scoring, and portfolio management for renewable energy projects.
- 🤖 AI-Powered Predictions: XGBoost machine learning models with 94% accuracy for renewable energy project success prediction
- 📊 ESG Scoring System: Comprehensive Environmental, Social, and Governance assessment with project-specific templates
- 💰 Multi-Currency Support: Real-time currency conversion supporting NGN, GBP, and EUR
- 📈 Portfolio Management: Real-time analytics and performance tracking
- 💼 Professional Dashboard: Business-grade interface with comprehensive project management
- 📱 Mobile-First Design: Responsive interface optimized for mobile and desktop
Professional dashboard and analytics views
Comprehensive Renewable Energy Solutions - Featuring; XGBoost Risk Engine, ESG Risk Scoring, Financial Models, and Power BI Dashboards
What Drives Us - Innovation, Sustainability, Integrity, and Partnership
Comprehensive Investment Intelligence, Industries We Serve
Let's Connect
FinergyCloud Insights & Research
Optimized mobile experience for on-the-go investment management
Mobile Dashboard, Project Management, and Analytics Views
Mobile ESG Scoring, AI Predictions, and User Profile
FinergyCloud uses advanced XGBoost machine learning models to provide comprehensive ESG scoring and investment recommendations for renewable energy projects.
Input Variables:
- Financial Metrics: CAPEX, OPEX, projected IRR, cash flow patterns
- Technical Specifications: Technology type, capacity, efficiency ratings
- Environmental Impact: CO2 reduction potential, land use, water consumption
- Social Factors: Community engagement, job creation, local partnerships
- Governance: Developer track record, regulatory compliance, transparency
XGBoost Model Processing:
- Data Preprocessing: Normalize and validate input parameters
- Feature Engineering: Calculate derived metrics and risk indicators
- Model Prediction: Process through trained XGBoost ensemble
- Confidence Scoring: Generate reliability metrics for predictions
- Risk Classification: Categorize projects into investment bands
{
"project": "Solar Mini-Grid, Kaduna State",
"technology": "Solar PV + Battery Storage",
"capacity": "2.5 MW",
"esg_score": 87,
"risk_band": "Low Risk",
"recommendation": "Investor Ready",
"confidence": "94%",
"breakdown": {
"environmental": 92,
"social": 85,
"governance": 84
},
"key_metrics": {
"projected_irr": "18.5%",
"co2_reduction": "1,200 tons/year",
"jobs_created": 45,
"payback_period": "6.2 years"
},
"investment_summary": "Strong ESG performance with excellent environmental impact and solid governance framework. Recommended for green investment portfolios."
}{
"project": "Wind Farm, Lagos Coast",
"technology": "Offshore Wind",
"capacity": "50 MW",
"esg_score": 76,
"risk_band": "Medium Risk",
"recommendation": "Conditional Approval",
"confidence": "89%",
"breakdown": {
"environmental": 88,
"social": 67,
"governance": 73
},
"key_metrics": {
"projected_irr": "15.2%",
"co2_reduction": "35,000 tons/year",
"jobs_created": 120,
"payback_period": "8.1 years"
},
"investment_summary": "Good environmental credentials but requires attention to community engagement and governance improvements before full investment approval."
}| Score Range | Risk Band | Classification | Investment Action |
|---|---|---|---|
| 85-100 | Low Risk | Investor Ready | ✅ Immediate funding approval |
| 70-84 | Medium Risk | Conditional Approval | |
| 55-69 | High Risk | Development Required | 🔄 Substantial improvements needed |
| Below 55 | Very High Risk | Not Recommended | ❌ Significant restructuring required |
- Machine Learning Models: XGBoost algorithms for project success prediction
- Risk Assessment: Multi-factor analysis covering technical, financial, and environmental risks
- Real-time Analytics: Live performance tracking and portfolio optimization
- Predictive Modeling: Market trend analysis and investment forecasting
- Environmental Impact: CO2 reduction tracking and energy generation metrics
- Social Impact: Community engagement and job creation assessment
- Governance Scoring: Regulatory compliance and transparency evaluation
- Sustainability Reporting: Automated ESG report generation
- Multi-Currency Support: NGN, GBP, EUR with real-time conversion
- IRR Calculator: Internal Rate of Return analysis for projects
- Portfolio Management: Diversification and performance tracking
- Investment Modeling: Cash flow analysis and ROI projections
- React 18 with TypeScript for robust component development
- Vite for lightning-fast development and optimized builds
- TailwindCSS for responsive, utility-first styling
- Wouter for lightweight client-side routing
- TanStack Query for efficient server state management
- shadcn/ui components built on Radix UI primitives
- Node.js with Express.js for scalable API development
- PostgreSQL for reliable data persistence
- Drizzle ORM for type-safe database operations
- Session-based authentication for secure user management
- RESTful API design following industry best practices
- Node.js 18+
- PostgreSQL database
- npm or yarn
- Clone the repository:
git clone https://github.com/Onuorah-Joshua-Nwani/FinergyCloud_Deployment.git
cd FinergyCloud_Deployment- Install dependencies:
npm install- Set up environment variables:
cp .env.example .env
# Edit .env with your database URL and other configurations- Run database migrations:
npm run db:push- Start the development server:
npm run devThe application will be available at http://localhost:5000
├── client/ # React frontend
│ ├── src/
│ │ ├── components/ # Reusable UI components
│ │ ├── pages/ # Page components
│ │ ├── lib/ # Utility functions
│ │ └── hooks/ # Custom React hooks
├── server/ # Express backend
│ ├── auth.ts # Authentication logic
│ ├── db.ts # Database configuration
│ ├── routes.ts # API routes
│ └── storage.ts # Database operations
├── shared/ # Shared types and utilities
│ ├── schema.ts # Database schema
│ └── currency.ts # Currency utilities
└── assets/ # Static assets
- Multi-factor analysis including grid stability, community engagement, and project specifications
- Real-time prediction API with confidence scoring
- Technical, financial, regulatory, environmental, and market risk analysis
- Project-specific ESG templates for different renewable energy types
- Impact tracking for CO2 reduction, energy generation, and community benefits
- Benchmarking against industry standards
- IRR Calculator supporting multiple currencies
- Real-time currency conversion
- Advanced financial modeling for renewable energy investments
npm run dev- Start development servernpm run build- Build for productionnpm run preview- Preview production buildnpm run db:push- Push database schema changesnpm run db:studio- Open database studio
The application uses Drizzle ORM with PostgreSQL. Key tables include:
users- User authentication and profilesprojects- Renewable energy projectspredictions- AI prediction resultsesg_metrics- ESG scoring datamarket_insights- Market analysis data
To add your screenshots to the README, create a screenshots/ directory in your repository and organize your images as follows:
screenshots/
├── website/
│ ├── dashboard-overview.png
│ ├── esg-scoring.png
│ ├── ai-predictions.png
│ └── portfolio-management.png
└── mobile/
├── mobile-dashboard.png
├── mobile-projects.png
├── mobile-analytics.png
├── mobile-esg.png
├── mobile-predictions.png
└── mobile-profile.png
Then update the image paths in the README to match your actual screenshot locations.
- Project Developers: Renewable energy project creators seeking funding and risk assessment
- NGO Finance Teams: Organizations managing sustainable development portfolios
- Climate Consultants: Professionals providing ESG advisory services
- Impact Investors: Individuals and institutions focused on sustainable investments
- Financial Advisors: Professionals managing renewable energy investment portfolios
FinergyCloud specifically targets emerging markets with a focus on:
- African Markets: Primary focus on Nigerian renewable energy sector
- Multi-Currency Support: Local currency integration for global accessibility
- Regional Compliance: Adherence to local regulatory requirements
- Community Impact: Emphasis on local job creation and social benefits
- Data Protection: GDPR-compliant data handling and storage
- Secure Authentication: Session-based authentication with secure cookie management
- API Security: Request validation and rate limiting
- Database Security: Encrypted connections and secure credential management
- AI Accuracy: 94% prediction accuracy for project success rates
- Response Time: Sub-second API response times
- Mobile Performance: Optimized for 3G/4G network conditions
- Uptime: 99.9% availability target with automated monitoring
We welcome contributions from the community! Here's how you can help:
- Fork the repository and create your feature branch
- Make your changes following our coding standards
- Test thoroughly including mobile responsive testing
- Submit a pull request with clear description of changes
- Participate in code review and address feedback
# Clone the repository
git clone https://github.com/Onuorah-Joshua-Nwani/FinergyCloud_Deployment.git
# Install dependencies
npm install
# Set up environment variables
cp .env.example .env
# Run database migrations
npm run db:push
# Start development server
npm run devThis project is licensed under the MIT License - see the LICENSE file for details.
- Documentation: Project Wiki
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Email: your-email@example.com
If you find FinergyCloud helpful, please consider:
- ⭐ Starring the repository
- 🐛 Reporting bugs or suggesting features
- 💬 Sharing with your network
- 🤝 Contributing to the project
Built with ❤️ for sustainable energy and climate action
© 2024 FinergyCloud. All rights reserved.