BUZ

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Buz is a seamless mobility payment system designed to streamline fare collection and improve passenger experience in busy cities. By integrating contactless payment technology, QR scanning, and smart route tracking, Buz ensures that commuters in crowded buses and matatus can pay fares effortlessly and alight efficiently without unnecessary delays.

Buz revolutionizes the urban commuting experience in crowded public transport systems like buses and matatus by offering an innovative fare payment solution. This system employs contactless payment via NFC-enabled cards, mobile apps, and QR code scanning to minimize physical cash transactions and improve overall efficiency. Passengers can quickly scan a QR code upon boarding, allowing the system to calculate fares based on distance traveled. Integrated route tracking ensures precise billing and enhances operational transparency for transport operators.

Additionally, Buz includes a mobile app where commuters can top up wallets, track vehicles in real time, and access e-receipts. For operators, it provides analytics on peak hours, passenger counts, and revenue, fostering informed decision-making. Designed to meet the demands of Africa's bustling cities, Buz combines convenience, security, and innovation to transform public transport.

Project Overview._

Unique Features.

Contactless Payments: NFC and QR-based payment systems for swift fare collection.
Dynamic Fare Calculation: Automated fare adjustments based on travel distance or zones.
Real-time Wallet Top-up: Allows commuters to reload balances via mobile apps or USSD.
Vehicle Tracking: Track vehicle location and arrival times through the app.
Operational Analytics: Data dashboards for operators to monitor passenger trends and revenue.
Offline Mode: Ensures functionality in areas with limited connectivity.

Project Team Members.

Lead Developer: Brian Otieno
Payment Integration Specialist: Esther Njeri
UI/UX Designer: Diana Achieng
Operations Analyst: George Kiprop
Field Coordinator: Lucy Wafula

Technologies Used.

1. Core Technologies:

Near Field Communication (NFC):
Enables contactless payments using smartphones or NFC-enabled cards.
QR Code Scanning:
Fast and reliable scanning for fare payment and passenger verification.
Cloud Computing:
Powered by platforms like AWS, Google Cloud, or Azure to manage data storage, analytics, and system scalability.
Mobile Application Development:Frontend: Flutter or React Native for cross-platform compatibility (iOS and Android).
Backend: Node.js or Django for handling payment processing, route tracking, and user data.
Payment Gateways:
Integration with platforms like M-Pesa, PayPal, Stripe, or Flutterwave to support seamless payments.
IoT Devices:
Embedded devices on buses for route tracking and QR code generation.

2. Real-time Tracking and Data Management:

GPS Technology:
Provides real-time vehicle location tracking and ETA updates for passengers.
Big Data Analytics:
Tools like Apache Kafka or Google BigQuery for analyzing commuter trends and transport operator revenue patterns.

3. Security Features:

Encryption Protocols:
Secure data transmission using HTTPS, TLS, and AES encryption to protect user payment details and system communications.
Biometric Integration (Optional):
Facial recognition or fingerprint scanners for enhanced passenger authentication and operator security.
Fraud Detection Systems:
AI-powered tools to monitor suspicious activity or unauthorized access.

4. Offline Functionality:

Edge Computing:
Ensures fare payment and QR scanning can occur even in areas with poor or no internet connectivity. Data syncs when back online.
Local Caching:
Stores transaction data temporarily during offline mode for later synchronization.

5. Communication and Notification Systems:

Push Notifications:
Real-time updates for wallet balances, payment receipts, and route changes via Firebase Cloud Messaging.
USSD Support:
For non-smartphone users to check balances, generate QR codes, or complete payments.

6. Reporting and Dashboard Tools:

Admin Dashboard:
Built with React.js or Angular for operators to view analytics, monitor transactions, and manage routes.
Visualization Tools:
Integration with tools like Tableau or Power BI for generating insightful transport operation reports.

7. AI and Machine Learning:

Demand Forecasting:
Predict peak hours and passenger demand using machine learning algorithms.
Dynamic Fare Pricing:
AI models that adjust fares based on travel patterns, congestion, or demand.
Passenger Feedback Analysis:
Sentiment analysis tools to understand commuter experiences from feedback and reviews.

Milestones Achieved.

Research and Feasibility Analysis (Month 1): Market research, stakeholder engagement, and technology validation.
Prototype Development (Month 2–3): Create a working prototype of the Buz app and QR payment system.
Pilot Testing (Month 4–5): Launch in selected routes to gather feedback and fine-tune operations.
Full-Scale Deployment (Month 6–8): Expand operations across multiple cities and onboard operators.
Feedback and Iteration (Month 9): Collect user and operator feedback to enhance features.

BUZ

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Project Overview._

Funding Updates.

Unique Features.

Project Team Members.

Funding Updates.

Funding Updates.

Funding Updates.

Technologies Used.

1. Core Technologies:

2. Real-time Tracking and Data Management:

3. Security Features:

4. Offline Functionality:

5. Communication and Notification Systems:

6. Reporting and Dashboard Tools:

7. AI and Machine Learning:

Funding Updates.

Milestones Achieved.

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Project Overview._

Project Team Members.

Team Comments.

Like the project?

Project Gallery._

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Are you an Investor and this project interests you?

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