Soham Chandane

Ajesh Thangaraj Nadar, Gabriel Nixon Raj, Soham Chandane et al.

The increasing proliferation of electronic devices in the modern era has led to a significant surge in electronic waste (e-waste). Improper disposal and insufficient recycling of e-waste pose serious environmental and health risks. This paper proposes an IoT-enabled system combined with a lightweight CNN-based classification pipeline to enhance the identification, categorization, and routing of e-waste materials. By integrating a camera system and a digital weighing scale, the framework automates the classification of electronic items based on visual and weight-based attributes. The system demonstrates how real-time detection of e-waste components such as circuit boards, sensors, and wires can facilitate smart recycling workflows and improve overall waste processing efficiency.

Ajesh Thangaraj Nadar, Soham Chandane, Gabriel Nixon Raj et al.

This paper presents a comprehensive approach to automated energy billing that leverages IoT-based smart meters, blockchain technology, and the Prophet time series forecasting model. The proposed system facilitates real-time power consumption monitoring via Wi-Fi-enabled ESP32 modules and a mobile application interface. It integrates Firebase and blockchain for secure, transparent billing processes and employs smart contracts for automated payments. The Prophet model is used for energy demand forecasting, with careful data preprocessing, transformation, and parameter tuning to improve prediction accuracy. This holistic solution aims to reduce manual errors, enhance user awareness, and promote sustainable energy use.