E-COMMERCE WEBSITE
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Summary
Developed an intuitive and visually appealing e-commerce interface to enhance the shopping experience, ensuring seamless product browsing and checkout.
Highly motivated B.Tech student specializing in Electronics & Communication Engineering, with a robust foundation in AI/ML, web development, and embedded systems. Proven problem-solver, recognized for developing an award-winning AI-powered system for crop disease detection and building efficient e-commerce platforms. Eager to apply strong technical skills in Python, ML frameworks, and full-stack development to innovative engineering challenges and contribute to cutting-edge projects.
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B.Tech
Electronics & Communication Engineering
Grade: 7.59 CGPA
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Intermediate
Secondary Education
Grade: 87%
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High School
Matriculation
Grade: 93%
Awarded By
University Competition Committee
Awarded first prize for the innovative AI-Powered System for Tomato Crop Disease Detection, recognized for its high accuracy and significant impact on agricultural efficiency.
Awarded By
UNSTOP
Achieved a ranking of 2,000 out of 25,000 participants (top 8%) in a competitive coding contest, demonstrating strong problem-solving and algorithmic skills.
Issued By
HackerRank
Issued By
Amazon Web Services
Issued By
Cisco
Issued By
Python, C, C++, JavaScript.
HTML5, CSS3, Flask.
NumPy, Pandas, CNN, ResNet, PyTorch, OpenCV, Machine Learning.
SQL.
AWS, Computer Networks, Cisco Networking.
Data Structures, Algorithms, Object Oriented Programming, Operating Systems, Problem Solving.
Serial Communication, IR Sensor, Buzzer.
Leadership, Time Management, Teamwork & Collaboration, Active Listening, Adaptability, Creativity.
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Summary
Developed an intuitive and visually appealing e-commerce interface to enhance the shopping experience, ensuring seamless product browsing and checkout.
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Summary
Developed a high-accuracy ML-based system to detect, identify, and classify tomato crop diseases, significantly enhancing agricultural efficiency and earning first prize in a district-level university competition.
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Summary
Developed an object detection system utilizing an IR sensor to detect objects based on infrared signal reflection, ensuring efficient and real-time detection for various applications.