
Enthusiastic and driven individual with a passion for the software industry and semiconductor technologies. Eager to kick-start my career and contribute to a dynamic organization like Intel. Possess strong interpersonal and communication skills, a proactive approach to learning, and a natural ability to adapt to new environments, ensuring a valuable and productive contribution to the team. Enthusiastic Student with superior skills in working in both team-based and independent capacities. Bringing strong work ethic and excellent organizational skills to any setting. Excited to bring above average user skills in information technology and social media.
IOT BASED SMARTBIN SYSTEM
Developed an IoT-based SmartBin system using Arduino Uno, servo motors, GSM modules, and RFID technology to monitor and manage waste levels. Integrated ultrasonic sensors to measure bin fill levels and servo motors for automatic lid control. Data was transmitted via GSM to a web platform for real-time analysis and reporting. Implemented RFID for user identification and tracking, enhancing the efficiency of waste collection. The system led to improved operational efficiency and cost savings through optimized waste management processes.
IOT-BASED SMART ENERGY METER
Developed an IoT-based Smart Energy Meter using ESP32, ThingSpeak, and current and voltage sensors for real-time energy monitoring. Integrated sensors to accurately measure and transmit energy consumption data to the cloud via Wi-Fi. Utilized ThingSpeak for data visualization and analysis, providing users with detailed insights into their energy usage. Implemented features for alerting users about abnormal consumption patterns, enhancing energy efficiency. The project improved user awareness and facilitated better energy management practices.
DEVELOPED DATABASE FOR RESPIRATORY ANALYSIS
Developed a database for respiratory analysis using Python and MySQL, integrating data from nasal airflow sensors. Implemented Python scripts for data acquisition and processing, ensuring accurate and real-time recording of respiratory patterns. Designed and managed a MySQL database to store and organize sensor data efficiently. Analyzed the collected data to identify patterns and anomalies in respiratory activity. The project enhanced the understanding of respiratory conditions and supported clinical research and diagnostics.
All the information mentioned above in the resume is correct to the best of my knowledge and belief.