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Agri-Twin-new-era-of-farming
December 10, 2025 – December 10, 2025
🚜 **Agri Twin** (Team Mithuna) Remote-controlled bot engineered for 1-acre field scanning using `Jetson Orin Nano` & `Pi Camera v2`. **Key Specs:** • Real-time Edge AI crop disease detection. • Live data visualization on the Agro Twin app. • Precision monitoring for optimized growth.
View Projectpersonal-system-assist
November 5, 2025 – November 5, 2025
personal-system-assist — GitHub repository
View ProjectIot-wing-portfolio
September 11, 2025 – September 16, 2025
Iot-wing-portfolio — GitHub repository
View ProjectDigital-Twin-Industry-5.0
May 16, 2025 – May 16, 2025
Developed a real-time digital twin of a screw jack, integrating IoT sensors, AI, and cloud computing for predictive maintenance and optimization. The system monitors load, temperature, and mechanical performance, providing data-driven insights to improve efficiency and prevent failures 🔍.
View ProjectFacial-attendance-system-raspberry-pi-5
May 16, 2025 – May 16, 2025
This Raspberry Pi 5-powered system uses Python’s Face Recognition library to detect, recognize, and label individuals in real time. With Cam Module 3 Wide, it captures wide-angle images, trains an AI model, and logs names in a TXT file for future reference 📂. Ideal for security, attendance, and smart surveillance 🔍.
View ProjectSocially-Relevent-Project-Smart-Agriculture-
May 16, 2025 – May 16, 2025
This Raspberry Pi 4-based project uses PiCamera2, DHT11, and light & moisture sensors to monitor crops. A trained AI model identifies plants 📸, while automatic irrigation ensures optimal soil moisture 💧. Controlled via GPIO pins, it enhances precision farming 🚜.
View ProjectMy-Sparky-Python
May 16, 2025 – May 16, 2025
Sparky is a voice-controlled Python bot that executes search queries, opens applications, navigates maps, and retrieves time updates 🕒. It supports visual commanding using pyautogui, detecting screen gestures for automation 📡. Ideal for hands-free productivity, Sparky enhances daily efficiency 🚀.
View ProjectSelf-balancing-wii-Arduino
May 16, 2025 – May 16, 2025
This Arduino Nano-powered bot uses MPU6050 gyroscope for real-time balance correction. It features Nema 17 stepper motors controlled via A4988 drivers, with Bluetooth & RC remote steering 🚀. Supports auto-rise after falling & PID tuning, making it an adaptive, stable robotics platform 🎛️.
View ProjectArduino-Obstacle-Avoidance-Bot
May 15, 2025 – May 15, 2025
This Arduino Uno-based bot uses an ultrasonic sensor (NewPing) for distance measurement (200 cm max). It has 4 DC motors controlled via AFMotor Shield, and a servo motor to scan left & right. The bot detects obstacles, moves forward or turns 🏁, ensuring autonomous navigation 🚀.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, demonstrating initiative and a passion for technology. The projects span various domains like robotics, IoT, AI, and agriculture, indicating a broad interest and willingness to explore different challenges. This aligns well with a culture that values innovation, continuous learning, and hands-on problem-solving. The focus on practical applications (e.g., smart agriculture, digital twins) suggests a results-oriented mindset. The target role of 'Data Scientist' is well-supported by the AI/ML and data-driven projects.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and hands-on approach to problem-solving. The diversity of personal projects indicates self-motivation and a strong interest in applying technology to various domains. However, without specific psychometric or English test results, it's difficult to assess communication clarity, teamwork, or stress handling directly. The project descriptions themselves are generally clear and concise.