FinergyCloud - AI-Powered Renewable Energy Investment Platform

Overview

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.

🌟 Key Features

🤖 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

🖼️ Platform Screenshots

Website Interface

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

Mobile App Interface

Optimized mobile experience for on-the-go investment management

Mobile Dashboard, Project Management, and Analytics Views

Mobile ESG Scoring, AI Predictions, and User Profile

🧠 How ESG Scoring Works

FinergyCloud uses advanced XGBoost machine learning models to provide comprehensive ESG scoring and investment recommendations for renewable energy projects.

Our AI-Powered Assessment Process

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

Sample ESG Assessment Results

{
  "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."
}

ESG Score Bands & Investment Recommendations

Score Range	Risk Band	Classification	Investment Action
85-100	Low Risk	Investor Ready	✅ Immediate funding approval
70-84	Medium Risk	Conditional Approval	⚠️ Address specific concerns
55-69	High Risk	Development Required	🔄 Substantial improvements needed
Below 55	Very High Risk	Not Recommended	❌ Significant restructuring required

🚀 Platform Capabilities

AI & Analytics

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

ESG & Impact Measurement

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

Financial Tools

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

🛠️ Tech Stack

Frontend

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

Backend

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

Quick Start

Prerequisites

Node.js 18+
PostgreSQL database
npm or yarn

Installation

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 dev

The application will be available at http://localhost:5000

Project Structure

├── 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

Key Features

AI Prediction Engine

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

ESG Scoring System

Project-specific ESG templates for different renewable energy types
Impact tracking for CO2 reduction, energy generation, and community benefits
Benchmarking against industry standards

Multi-Currency Financial Modeling

IRR Calculator supporting multiple currencies
Real-time currency conversion
Advanced financial modeling for renewable energy investments

Development

Available Scripts

npm run dev - Start development server
npm run build - Build for production
npm run preview - Preview production build
npm run db:push - Push database schema changes
npm run db:studio - Open database studio

Database Schema

The application uses Drizzle ORM with PostgreSQL. Key tables include:

users - User authentication and profiles
projects - Renewable energy projects
predictions - AI prediction results
esg_metrics - ESG scoring data
market_insights - Market analysis data

🗂️ Screenshots Directory Structure

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.

🎯 Target Users

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

🌍 Market Focus

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

🔒 Security & Compliance

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

📈 Performance Metrics

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

🤝 Contributing

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

Development Setup

# 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 dev

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Support & Contact

Documentation: Project Wiki
Issues: GitHub Issues
Discussions: GitHub Discussions
Email: your-email@example.com

🌟 Show Your Support

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

Name		Name	Last commit message	Last commit date
Latest commit History 576 Commits
assets		assets
client		client
models		models
screenshots		screenshots
server		server
shared		shared
.env.example		.env.example
.gitignore		.gitignore
.replit		.replit
LICENSE		LICENSE
README.md		README.md
build.sh		build.sh
components.json		components.json
create_notebook.py		create_notebook.py
deployment-config.md		deployment-config.md
dev.md		dev.md
drizzle.config.ts		drizzle.config.ts
package-lock.json		package-lock.json
package.json		package.json
performance-metrics.json		performance-metrics.json
postcss.config.js		postcss.config.js
restart_dev.sh		restart_dev.sh
server.log		server.log
stable-server.log		stable-server.log
start.js		start.js
start.sh		start.sh
tailwind.config.ts		tailwind.config.ts
tsconfig.json		tsconfig.json
vite.config.ts		vite.config.ts
xgboost_model_training.py		xgboost_model_training.py

License

Onuorah-Joshua-Nwani/FinergyCloud_Deployment

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