💻 B.Tech CSE (Data Science) @ Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar '28
🤖 AI/ML/IoT Summer Intern @ eWarn Systems Pvt. Ltd., NIT Rourkela
🚀 Summer Research Intern @ National Institute of Technology Rourkela (NIT Rourkela)

const Tapananshu = {
  pronouns: "he/him",
  code: ["Python", "JavaScript", "Java", "C"],
  frameworks: ["Flask", "Bootstrap", "Tailwind", "Tkinter"],
  hobbies: ["Hackathons", "Tech Events", "Debugging Life", "Figma Aesthetics"],
  motto: "Learn → Build → Break → Repeat 💥"
}

🖠️ I'm an enthusiastic tech explorer who loves creating meaningful solutions. Whether it's real-time AI systems or hands-on IoT integrations, I enjoy turning complex problems into clean, elegant, and scalable code.

• Developed CrimeNetra, a desktop-based surveillance system using Python, Tkinter, and OpenCV, integrated with IP cameras for real-time crime/harassment detection.
• Used YOLOv8 object detection and MediaPipe pose estimation for identifying suspicious behaviors in video streams.
• Designed a flexible GUI that supports webcam, video, and RTSP input, with features like alert triggering, video recording, and frame capture.
• Built an Elephant Detection System using YOLOv8 to prevent human-elephant conflicts by monitoring wildlife in real-time.
• Contributed to an AI-Powered Smart Traffic Management System, using IP camera-based lane detection and adaptive signal logic.
• Learned embedded system concepts and PCB layout using EagleCAD.
• Attended PCB Designing sessions by Scientech Technologies Pvt. Ltd. using TINA Suites.
• Gained AI/ML insights from an expert session by Shuchismita Sahu (ex-BITS Pilani, AI/ML Manager at Inflera.ai).

• Built real-time IoT + Automation systems using ESP32, Arduino Uno, and Arduino Mega.
• Integrated sensors including: DHT11 (temperature), BMP085 (pressure), MPU6050 (IMU), MQ135 (air quality), ACS712 (current), ZMPT101B (voltage), Flame, Piezo.
• Developed OLED-based real-time monitoring interfaces and a browser-based control dashboard.
• Enabled wireless communication via WiFi, Bluetooth, LoRa, and Free Space Optics (FSO).
• Smart Energy Monitoring: Detected fire, gas, voltage/current data with control over 4 appliances.
• Built a Flask-based Face Recognition Attendance System with webcam input, dashboard logging, and real-time alerts.

• Gained end-to-end knowledge on UAV development lifecycle and aerodynamics.
• Hands-on experience with Pixhawk, APM, KK2, GPS & telemetry module configuration.
• Calibrated ESCs, motors, onboard sensors (IMU, compass, gyroscope).
• Designed 3D drone parts using CATIA, printed via ANYCUBIC 3D printer.
• Learned AI-based autonomous flight and multi-drone IoT communication.

Currently exploring: YOLOv8, Streamlit, Twilio, Flask APIs, CATIA, LoRa, OpenCV ML, Real-Time Dashboards

💥 I debugged my first JS loop while sipping Rasna and haven’t stopped since.

“Coding is cool, but solving real problems? That’s 🔥.”

⭐ Drop a ⭐ on my projects if they made you go “yo this guy’s cookin fr”
🎯 Let’s collab, code, and caffeinate our way to greatness!