π Resume
πΌ Internships
Developed responsive web apps with HTML, CSS, JS, FastAPI & MySQL. Implemented CRUD & API dev.
Industrial course on Oracle APEX, SQL & PL/SQL. Built reports, dashboards, and apps securely.
π Certifications
- Oracle APEX - SQL
- Python Foundations β Great Learning
- Deep Learning β Simplilearn
π Education
B.Tech IT β (2021β2025)
CGPA: 7.3/10
HSC β (2020β2021)
79.1%
SSLC β (2018β2019)
71.6%
π Projects
πΎ CropVision β Smart Sugarcane Disease Detection
Objective: Deep learning based system for early detection and severity assessment of sugarcane leaf diseases using EfficientNetV2 and rule-based grading.
Technologies: Python,EfficientNetV2, Rulebased-grading
Description: Developed an intelligent crop disease classification model using EfficientNetV2 achieving 98.2% accuracy. Integrated rule-based grading for precise severity measurement and real-time visual insights for farmers.
π¬ MediLink β DoctorβPatient Communication Platform
Objective: Enable seamless, secure communication between doctors and patients.
Technologies: HTML, CSS, JavaScript, FastAPI
Description: Built a secure healthcare platform for real-time chat and appointment notifications using FastAPI. Enhanced usability with message alerts and responsive design.
π¨ Artify β Art Gallery Management System
Objective: To streamline the management of artworks, artists, and exhibitions through a user-friendly gallery management system.
Technologies: Oracle APEX, SQL
Description: Designed and implemented an end-to-end gallery management app in Oracle APEX featuring artwork uploads, artist profiles, manual sales tracking, and an analytics dashboard for administrators.