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pathogen_classification
March 29, 2026 – Present
This project presents an end to end deep learning pipeline for classifying plant leaf pathology into four categories (Bacterial, Fungal, Mould, and Healthy) across multiple plant species including cabbage, cauliflower, lettuce, and spinach.
View ProjectDetection-of-Illegal-Electric-Fences-Using-Drone-Based-Thermal-Imaging-Technology
September 19, 2025 – October 22, 2025
This project proposes a scalable, non-invasive method to detect illegal electric fences in farms and forests using drone-mounted thermal cameras. By identifying heat signatures from high-voltage currents, it helps prevent fatal electrocutions of humans and wildlife.
View ProjectCultural Fit Analysis
The candidate's projects show a mix of interests, from drone-based thermal imaging to deep learning for plant pathology. While diverse, the direct alignment with a dedicated 'Frontend Developer' role is moderate, as only one project explicitly lists frontend technologies. The experience level is 0, suggesting a junior profile, which might not align with senior-level expectations for cultural fit in terms of leadership or mentorship.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.