Project

Developed an AI-based system to generate personalized, ATS-optimized cover letters from resumes and job descriptions.
Extracts and aligns key skills, job requirements, and keywords to improve job application success rate.
Reduces manual effort by automatically structuring professional cover letters in a proper format.
Supports multiple job roles by adapting tone and content based on input job description.
Focuses on improving ATS (Applicant Tracking System) compatibility for better resume screening results.

Built a role-based online learning platform for students, instructors, and administrators.
Enables instructors to create, update, and manage courses efficiently.
Allows students to enroll in courses and track their learning progress.
Includes authentication system for secure login and role-based access control.
Designed with a focus on scalable structure for future feature expansion.

Developed a web-based image classification system using machine learning models.
Accepts user-uploaded images and predicts the most relevant categories.
Displays confidence scores to show prediction reliability.
Includes preprocessing pipeline to standardize images before prediction.
Provides real-time inference through a simple and interactive UI.

Projects