The aim of this project is to design a biodiversity monitoring system that collects and analyzes wildlife observation data. The system supports conservation efforts by tracking species population trends, habitat conditions, and environmental changes affecting biodiversity.
Research biodiversity conservation principles and endangered species tracking methods.
Identify essential data points such as species type, location, and observation frequency.
Design a structured database for wildlife records.
Develop modules for recording field observations.
Implement data analytics to monitor population trends.
Create visualization tools such as charts and heat maps.
Analyze seasonal variations in species sightings.
Develop reporting features for conservation authorities.
Test the system using sample biodiversity datasets.
Evaluate data accuracy and completeness.
Document findings and suggest AI-based image recognition integration for future development.
Propose scalability for national-level conservation programs.
