Ecosystem: An Intelligent Marketplace for Sustainability Services

This paper presented the successful architecture, develop- ment, and implementation of “Ecosystem,” a comprehensive digital marketplace engineered to accelerate the adoption of green energy technologies. By integrating multi-vertical ser- vice discovery, strict vendor verification, and seamless digital payments, Ecosystem eliminates the severe fragmentation cur- rently plaguing the renewable energy service sector. Furthermore, the introduction of a Python-driven predictive Eco-Impact engine elevates the platform from a standard booking application into an intelligent analytical tool. By providing users with precise, mathematically sound forecasts of their financial savings and carbon mitigation, Ecosystem de- mystifies the ROI of green infrastructure, transforming hesitant consumers into active participants in the sustainable transition. The seamless integration of state and central government subsidy portals ensures that the platform functions in tandem with national climate objectives. In its completed state, Ecosystem serves as a robust, scal- able, and secure blueprint for how digital software infrastruc- ture can directly catalyze physical environmental progress.

[1]     International Energy Agency (IEA), World Energy Outlook 2023. Paris: IEA, 2023. [2]     Ministry of New and Renewable Energy (MNRE), Rooftop Solar Pro- gramme Phase-II Guidelines. Government of India, 2024. [3]     Government of India, Pradhan Mantri Suryodaya Ghar-Muft Bijli Yo- jana Official Notification. New Delhi, 2024. [4]     D. Dutt, A. Jain, and V. Garg, “Understanding the barriers to the diffusion of rooftop solar in India,” Energy Policy, vol. 147, pp. 111884, 2020. [5]     T. Dhingra, A. Sengar, and S. Sajith, “Identifying, analysing, and prioritizing barriers in the Indian industrial and commercial rooftop solar sector,” Solar Energy, vol. 257, pp. 875–886, 2023. [6]     L. Guzman, S. Makonin, and R. A. Clapp, “CarbonKit: Designing a Personal Carbon Tracking Platform,” arXiv preprint arXiv:1603.0000, 2016. [7]     N. Ahmed and K. Mueller, “EnergyScout: A Consumer Oriented Dash- board for Smart Meter Data Analytics,” arXiv preprint arXiv:1905.0000, 2019. [8]     T. C. Mathew and S. N. Pandian, “Unveiling the shadows: a qualitative exploration of barriers to rooftop solar photovoltaic adoption in residen- tial sectors,” Clean Energy, vol. 8, no. 5, pp. 218–228, 2024. [9]     S. Hoffmann and W. Lasarov, “Carbon footprint tracking apps: What drives consumers’ adoption?” Technology in Society, vol. 71, pp. 102088, 2022. [10]    S. Petersen, I. Petersen, and P. Ahcin, “Smiling Earth-Raising Awareness among Citizens for Behaviour Change to Reduce Carbon Footprint,” Energies, vol. 13, no. 20, p. 15016, 2020.