Tarun Sai Adada

To study and be updated about the game-changing trends in the increasingly competitive world and be a competent techie ready to embrace challenges.

• The introduction to Quantum Computing
• Object Oriented Data Structures in C++
• Python for everybody
• C Programming language

• Represented the state of Andhra Pradesh in India twice in the National School Games - the most prestigious sports event in the country- in the under-17 and under-19 categories.
• Winners in the 61st State School Games CRICKET Tournament in class 10th.
• Runners of Andhra T20 CRICKET Tournament.
• Winners in the 5TH and 6th LICET Tournament.
• Recipient of 100% scholarship from SRM University - one of the top three private universities in the country- for sporting achievements.
• Considered for the TNPL (Tamil Nadu Premier League) the most successful T20 league in the state.
• Representing the Railways Cricket in the 2021 season.

Drivers Drowsiness System, As a vital team member, I led the development of a real-time driver drowsiness detection system using Python and computer vision techniques. This project involved the use of OpenCV, imutils, dlib, and scipy to analyze live video streams. We implemented an algorithm that continuously monitored eye movements, calculating the Eye Aspect Ratio to assess drowsiness levels. With a rolling average over 20 consecutive frames, the system triggered an alarm when the Eye Aspect Ratio dropped below the safety threshold of 0.25. The project achieved remarkable success in effectively detecting drowsy driving behavior, contributing to improved road safety, and exemplifying my technical skills and commitment to proactive problem-solving. VLSI Based Automated Digital Person Counter smart appliances control System for energy Conservation using CPLD Chip, Led the development of an advanced VLSI-based Automated Digital Person Counter and Smart Appliances Control System for Energy Conservation utilizing a CPLD chip. Successfully achieved the objective of accurately tracking and managing the count of participants entering and exiting sessions, demonstrating exceptional skills in VLSI design and system automation. Precise indoor positioning with the help of UWB, As part of a collaborative project, I contributed to the development of an innovative system designed to track and locate lost objects in enclosed spaces. Our solution employed an iBeacon sensor, addressing the common challenge of locating items like car keys, wallets, and briefcases within a room or household. The project involved hardware setup, calibration of the iBeacon's measured power, and establishing communication between a mobile device and the iBeacon via Bluetooth. The iBeacon, operating on the Bluetooth Low Energy (BLE) principle, continuously transmitted signals from the lost object to both a mobile application and a web interface. To accurately determine the object's location, we manually calculated Received Signal Strength Indicator (RSSI) values using the Distance-RSSI formula, allowing for efficient and effective object retrieval. Sentiment and emotion recognition using speech, Researched and developed advanced sentiment and emotion analysis through speech recognition, pioneering the application of Support Vector Machines and MLP classifiers for enhanced precision. Resolved challenges in dataset integration, contributing to cutting-edge methods in real-time sentiment detection for improved customer engagement and brand management. Enterprise Architecture and Systems Infrastructure, I was exposed to different facets of the organization's organizational structure, business model, and outsourcing strategy during my tenure with the company. I actively participated in the creation of a Business Process Management (BPM) diagram and discovered their lean and agile development methodologies. I took part in the company's SWOT analysis and the use of architectural frameworks.