Portfolio
Horseshoe Crab Habitat Mapping & Future Projection using UAV Technology (South Asian Forum for Environment - SAFE & HCL) - 2025
This project involved the use of UAV and drone-based data acquisition to assess and project Horseshoe Crab habitats across sensitive coastal zones, carried out in collaboration with South Asian Forum for Environment – SAFE and HCL. The objective was to support conservation efforts through high-resolution aerial mapping and spatial analysis of critical breeding and nesting areas.
As a Drone Pilot and UAV Specialist, I was responsible for planning and executing DGCA-compliant drone missions to capture high-accuracy aerial imagery of intertidal and shoreline environments. The collected data supported habitat suitability analysis, shoreline change detection, and future habitat projection, helping identify vulnerable zones impacted by climate variability and human activity.
The project delivered actionable geospatial insights to conservation stakeholders, enabling data-driven habitat protection and long-term coastal ecosystem management.
Key Responsibilities & Contributions:
- Planned and executed UAV flight missions over coastal and intertidal zones
- Captured high-resolution aerial imagery and geospatial data
- Supported habitat mapping, shoreline analysis, and change detection
- Assisted in future habitat projection and vulnerability assessment
- Ensured aviation safety, regulatory compliance, and data accuracy
- Collaborated with environmental scientists and conservation teams
Tools & Skills Used:
- UAV Flight Operations & Mission Planning
- Aerial Survey & Coastal Mapping
- Photogrammetry & Orthomosaic Generation
- GIS & Spatial Data Analysis
- Environmental Monitoring using Drones
Impact:
- Enabled precise mapping of Horseshoe Crab breeding habitats
- Improved conservation planning through UAV-driven insights
- Supported sustainable coastal biodiversity management for SAFE & HCL
Evaluating Tourism Carrying Capacity in Kodaikanal Tamilnadu across multiple RCP Climate change scenarios - 2024
As part of this project, I contributed to assessing the tourism carrying capacity of Kodaikanal by capturing high-resolution aerial imagery and geospatial data using UAV platforms. My role involved planning and executing drone missions in complex hill-terrain conditions to support climate-impact analysis across various Representative Concentration Pathway (RCP) scenarios.
I collaborated with environmental researchers and GIS specialists to provide accurate aerial datasets essential for terrain analysis, land-use mapping, vegetation monitoring, and tourist-flow modeling. The collected UAV data helped enhance predictive climate models and supported evidence-based recommendations for sustainable tourism management in Kodaikanal.
✨ Key Contributions:
Conducted safe and efficient UAV operations in challenging mountainous landscapes
Captured geo-tagged aerial imagery for land-use, vegetation, and infrastructure assessment
Assisted in generating spatial datasets to evaluate climate-driven changes under multiple RCP scenarios
Supported decision-making for long-term sustainable tourism planning
Skills: Drone Piloting · Drone Photography · Drone Mapping · Aerial Photography · Unmanned Aerial Vehicle (UAV) · Aerial Surveys
Smart Animal Detection Module - 2024
The Smart Animal Detection Module is an advanced, IoT-based monitoring system designed to automatically detect, identify, and respond to animal movement in real time. The system integrates intelligent sensors, camera modules, and wireless communication technologies to provide continuous surveillance in forest areas, farmlands, highways, and rural settlements where human–wildlife interaction is frequent.
The module uses motion and presence detection to identify animal activity and triggers instant alerts through visual indicators, audible alarms, or mobile notifications. This early-warning mechanism helps prevent crop damage, road accidents, and human–animal conflicts while ensuring minimal disturbance to wildlife. Captured data can be stored locally or transmitted to a central monitoring platform for analysis and reporting.
Built to operate reliably in outdoor and remote environments, the Smart Animal Detection Module supports low-power operation, night monitoring, and scalable deployment across large areas. Its modular design allows easy integration with existing surveillance systems, drone platforms, or smart infrastructure, making it a practical and cost-effective solution for wildlife conservation, smart agriculture, and public safety applications.
Key Features
- Real-Time Animal Detection
Automatically detects animal movement using intelligent sensors and camera-based monitoring for continuous surveillance. - Instant Alert System
Triggers immediate alerts through sound alarms, warning lights, or mobile notifications to enable quick response. - Day & Night Monitoring
Supports low-light and night-time detection for 24/7 operation in forest and rural environments. - IoT & Remote Connectivity
Enables remote monitoring and data access through IoT platforms, allowing centralized control and management. - Data Logging & Reporting
Stores detection events, timestamps, and location data for analysis, reporting, and long-term planning. - Low Power & Outdoor Ready
Designed for low power consumption with weather-resistant housing, ideal for remote and off-grid locations. - Scalable & Modular Design
Easily expandable and customizable to cover large areas and integrate with existing systems. - Wildlife-Friendly Operation
Non-invasive detection methods ensure minimal disturbance to animals while maintaining safety.
Use Cases
- Forest & Wildlife Conservation
Used by forest departments to monitor animal movement, prevent poaching, and support conservation efforts without physical patrols. - Human–Wildlife Conflict Prevention
Deployed near villages and forest boundaries to provide early warnings when animals approach human settlements. - Agricultural Field Protection
Helps farmers protect crops by detecting wild animals and triggering deterrent systems before damage occurs. - Highway & Railway Safety
Installed near roads and railway tracks to detect animal crossings and reduce collision risks through advance alerts. - Smart Village & Rural Safety
Enhances safety in rural areas by integrating animal detection with smart infrastructure and community alert systems. - Research & Data Analysis
Supports wildlife research by collecting movement data to study animal behavior, migration patterns, and habitat usage.
