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Project title: AI-powered Construction Carbon Management Platform
Posted by: External project from PeoplePerHour
Started: 30-Jan-2025 11:58 GMT
Description: 1. Introduction
The construction industry is a significant contributor to global carbon emissions. To address this challenge, Carbonetrix seeks to develop an AI-powered platform that automates carbon activity data collection on construction projects and provides actionable decarbonization recommendations. We invite experienced development individuals/agencies to submit proposals detailing their approach to building this innovative solution.

2. Project Objectives

Automated Data Collection: Implement AI-driven tools to streamline the gathering of carbon-related data throughout construction processes.

Real-Time Analysis: Utilize advanced analytics to process collected data, offering immediate insights into carbon footprints.

Decarbonization Strategies: Generate tailored recommendations to minimize carbon emissions based on analyzed data.

3. Scope of Work
The selected individual/agency will be responsible for:

Platform Development: Designing and developing a user-friendly platform with robust backend support.

AI and Machine Learning Integration: Creating intelligent models to process and analyze data.

IoT Integration: Incorporating sensors and other smart devices for real-time data acquisition.

Decarbonization Recommendation Engine: Developing an AI-based decision-making system to suggest emission reduction strategies.

Security and Compliance: Ensuring data privacy and adherence to industry regulations.

4. Breakdown of Tasks
Kindly provide a detailed breakdown of tasks, including but not limited to:

Research & Requirement Analysis

UI/UX Design

Backend and Frontend Development

AI Model Training and Implementation

IoT Integration & Sensor Deployment

Testing & Quality Assurance

Deployment & Maintenance

5. Team Composition
Kindly include the team structure, including but not limited to:

Project Manager: Oversees the project timeline and deliverables.

AI/ML Engineers: Develop and train machine learning models.

IoT Specialists: Integrate IoT devices and sensors for data collection.

Software Developers: Build the platform’s backend and frontend.

UI/UX Designers: Ensure an intuitive and seamless user experience.

Data Scientists: Analyze and interpret collected carbon data.

Security Experts: Ensure platform security and compliance.

Please state the number of each team member that will work on the project.

6. Proposed Development Stack
Please specify the technology stack to be used, including but not limited to:

Frontend: React.js, Vue.js, or Angular

Backend: Node.js, Python (Django/Flask), or Ruby on Rails

Database: PostgreSQL, MongoDB, or Firebase

AI/ML Frameworks: TensorFlow, PyTorch, or Scikit-Learn

Cloud Services: AWS, Google Cloud, or Microsoft Azure

IoT Protocols: MQTT, LoRaWAN, or Bluetooth Low Energy (BLE)

7. IoT Materials & AI Models
Kindly detail the IoT devices and AI models to be used, including:

IoT Sensors: CO2 sensors, energy meters, temperature/humidity sensors, and RFID trackers.

AI Models: Predictive analytics models, anomaly detection models, and carbon footprint estimation algorithms.

Edge Computing: Implementation of edge AI for real-time data processing.

8. Project Timeline & Milestones
Please provide an estimated timeline, including key milestones such as:

Month 1-2: Requirement gathering, UI/UX design, and initial prototyping.

Month 3-5: Core development, AI model training, and IoT integration.

Month 6: Testing, security checks, and performance optimization.

Month 7: Deployment and post-launch support.

9. Budget & Payment Terms
A cost breakdown should be provided, covering:

Development costs

AI and IoT integration costs

Testing and quality assurance costs

Maintenance and support costs

10. Submission Requirements
Interested individuals/agencies must include the following in their submission:

Profile and relevant experience

Detailed proposal with methodology

Highlight of similar projects completed

Cost estimation in GBP and proposed payment structure

11. Evaluation Criteria
Proposals will be evaluated based on:

Technical expertise and past experience

Innovative approach to AI and IoT integration

Project management capabilities

Cost-effectiveness and value proposition

Compliance with industry standards and regulations

You can find out more about Carbonetrix here: www.carbonetrix.com
Project ID: 3419559
Project category:
Project budget:
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