CO₂ Emission Forecasting Using Digital Twins

Freelancer Required for Complete MEng Thesis Project Development – CO₂ Emission Forecasting Using Digital Twins Project Description I am looking for an experienced freelancer or team (Data Science + Machine Learning + Digital Twin + Research Writing + Visualization) to develop a complete original Master’s project from start to finish. Project Title CO₂ Emission Forecasting Using Digital Twins Project Objective Develop an interactive 3D Digital Twin dashboard, where changing the energy consumption of a region/state dynamically changes the predicted CO₂ emission level and updates the region colour (Green/Yellow/Red) based on prediction output. Example: • Low CO₂ → Green • Medium CO₂ → Yellow • High CO₂ → Red User adjusts energy consumption input → model predicts emissions → region colour changes in real time on 3D dashboard. using CesiumJS. Scope of Work (End-to-End Project Development Required) 1. Research & Methodology Freelancer must handle: • Full research on the topic • Literature review support • Methodology selection • Project architecture design • Model selection (SARIMAX / LSTM / Prophet / suitable alternative) 2. Dataset Collection & Preparation Freelancer must independently: • Find correct and reliable datasets (government/verified sources) • Collect CO₂ and energy consumption datasets • Data cleaning • Preprocessing • Feature engineering • Normalization • Dataset documentation 3. Model Development Develop forecasting model including: • Prediction model implementation • Model training/testing • Validation • Performance evaluation: o RMSE o MAE o MAPE Include: • Sensitivity analysis • Energy consumption variation scenarios • CO₂ classification logic 4. Digital Twin Interactive Dashboard Develop complete dashboard including: • 3D visualization • Interactive controls/sliders • Dynamic color changes by predicted CO₂ levels • State/region level visualization • Full integration with forecasting model Deliverables Required A. Full Source Code Must include: • 100% original code • Full copyright / ownership transferred to me • Well-structured code • Commented code • Clean project files • Git repository preferred B. Line-by-Line Code Explanation Provide: • Detailed code explanation • Each module explained • Logic breakdown • How each component works C. Complete Final Project Report (Submission Ready) Need full academic report including: • Abstract • Introduction • Literature Review • Methodology • Dataset • Results • Discussion • Conclusion • References • Figures/Tables Ready for college submission. D. Separate Technical Understanding Report A separate report explaining: • How project was built step-by-step • Why each tool/model was chosen • Architecture explanation • Implementation workflow E. Challenges & Problem Resolution Report Separate document covering: • Problems encountered • How issues were solved • Technical trade-offs • Limitations F. Project Viva / Interview Preparation Support Need support for project defense including: • Likely interview questions • Technical questions and answers • Questions on model, datasets and methodology • What I should know before viva G. Additional Support Please include: • Setup guide • Installation instructions • Walkthrough/demo session • Revisions support • Post-delivery support for doubts Requirements Freelancer should ideally have experience in: • Machine Learning • Time Series Forecasting • Digital Twins • CesiumJS / Geospatial Visualization • Research/Thesis Projects • Climate or environmental datasets When bidding Please Include Please provide: 1. Similar projects completed 2. Relevant portfolio 3. Proposed methodology for this project 4. Estimated timeline 5. Fixed price quote 6. Technologies you plan to use Important Conditions • Original work only • No plagiarism • No reused or copied academic projects • Full ownership of code and deliverables transferred to me • Confidentiality required