Our mission is to create autonomous aerial solutions that can assist in:
🌪️ Post-disaster surveillance (floods, earthquakes, landslides, fire zones)
📡 Search & rescue missions with onboard sensors & custom antenna systems
🚑 Medical & supply delivery in inaccessible zones
🛰️ Real-time data collection & transmission, even in disrupted networks
🛡️ Self-protection & defense mechanisms to ensure mission reliability in harsh conditions
This repository hosts everything from CAD designs to ROS2 simulation environments, enabling both hardware prototyping and virtual validation.
Repository Structure 📦 Neetram
┣ 📁 CAD Designs # Drone CAD files (SolidWorks/ANSYS)
┣ 📁 Simulations # Structural & aerodynamic simulations
┣ 📁 ROS2_Code # ROS2 nodes for navigation, control, sensors
┣ 📁 Gazebo_Worlds # Gazebo simulation environments
┣ 📁 UAV_Algorithms # Path planning, obstacle avoidance, swarm logic
┣ 📁 Real-Time-Drone #The parts of the drone which are being/already built
┣ 📁 Antenna_Designs # Custom antenna CAD + testing data
┣ 📁 ML_Model_Results # YOLO and OpenCV outcomes
┗ README.md # You are here 🚀
🛠️ Tech Stack
Hardware: Custom UAV frame, onboard sensors (GPS, IMU, LiDAR, Camera, Gas sensors, Thermal imaging, RF modules)
Custom Antenna: Designed for extended range in disaster-hit low-connectivity zones
Optimized for signal penetration through debris and urban clutter
Integrated with multi-frequency bands for redundancy
Defense Mechanisms:
🛡️ Fail-safe landing system during signal loss
🔋 Battery redundancy for extended mission reliability
📶 Anti-jamming protocols for communication resilience
🌐 Collision avoidance sensors for safe navigation
Software & Tools:
ROS2 Humble
– Autonomy & control
Gazebo
– Simulation & testing
ANSYS – Aerodynamic & structural analysis
PX4 / Ardupilot
– Flight stack integration
[Python / C++] – Algorithms & control nodes
🚀 Features
🔍 Autonomous Navigation
Complete open-source flight control algorithm (Python) with integrated PID tuning for stable and precise UAV maneuvers.
🧠 Onboard AI ( ML Object Detection)
Jetson/Raspberry Pi powered real-time object detection for victim recognition, hazard detection, and intelligent mission planning.
🚑 Survival Kit Delivery
Payload delivery mechanism for first-aid kits, communication devices, and essential supplies in inaccessible disaster zones.
🎥 Long-Range Video & Data Transmission
Uses GStreamer + MQTT for low-latency HD video and sensor telemetry streaming over long distances.
📡 Custom Triple-Band Patch Antenna
Supports 5.8 GHz, 2.4 GHz, and 900 MHz for redundancy and range, ensuring communication even in disrupted networks.
⚙️ PID Tuning & IMU Data Integrity
Fine-tuned PID controllers with sensor fusion (IMU + GPS), combined with data integrity checks and encryption.
🛡️ Anti-Jamming & FHSS (Frequency Hopping Spread Spectrum)
Defensive communication strategy to counter signal interference, with compliance-based declination of offensive jamming use.
🔐 Transmission Encryption & Security Firewall
All communication channels encrypted; dedicated firewall layer shields flight systems from unauthorized intrusion.
🔑 Flight Control Password Protection
Adds secure authentication layers before drone takeoff and system configuration, ensuring only authorized operators can access controls.
🗺️ Custom Simulation Worlds
Disaster-specific Gazebo environments — flood zones, fire scenarios, collapsed structures — for training and validation.
📸 Visuals
Drone CAD (ANSYS/3D Model)
Gazebo Simulation
Antenna(In progress)
Ground Station View
📌 MVP (Minimum Viable Product): MVP 📱 Mobile/Web App for Command & Control: App
👩🚀 Team Neetram
Name - Role - Focus Area
Deep Batyabal - Project Lead - UAV Systems
Ritabhasa Chowdhury - Software Engineer - ROS2 Integration
Sagnik Chakraborty - Simulation Engineer - ANSYS, CAD
Prasunita De - Controls Engineer - Flight Algorithms
Aditi Rai - AI/ML Engineer - Vision & Detection
Sagnik Adhikary - Hardware Engineer - Sensors, Antenna & Payloads
🌟 Impact
By combining cutting-edge drone technology with custom communication systems and self-defense mechanisms, Neetrum aims to:
Reduce response time in disasters
Provide real-time situational awareness
Save lives & resources through smart deployment