B.Tech (AI&DS) • Web Developer • App Developer
Building intelligent digital solutions with clean code, creative thinking, and real-world impact.
I'm a B.Tech student specializing in Artificial Intelligence and Data Science, with a strong passion for building practical, real-world technology solutions. I enjoy transforming ideas into functional applications through clean code, structured thinking, and continuous learning. My academic journey has helped me develop a solid foundation in programming, data analysis, and software development principles.
I'm particularly interested in software and application development, where I can combine logic, creativity, and problem-solving to create impactful digital products. I have worked on projects involving web development, intelligent systems, and embedded solutions, which strengthened my ability to design, develop, and deploy scalable applications. I enjoy exploring modern technologies and constantly improving my technical and analytical skills.
Beyond academics, I value leadership, teamwork, and adaptability. I believe growth comes from stepping out of comfort zones, learning from challenges, and consistently refining both technical and interpersonal skills. My goal is to build innovative solutions that not only function efficiently but also create meaningful value for users.
Projects Completed
CGPA
Technologies
CGPA: 7.2
Specializing in Artificial Intelligence and Data Science with focus on machine learning, data analytics, and intelligent system development.
Percentage: 63.50%
Percentage: 64.20%
Intelligent Crop Recommendation System
AgroSmart is a smart farming web application designed to assist farmers in selecting suitable crops based on soil type, district, and weather conditions. The platform provides crop recommendations and integrates weather data to support informed agricultural decisions.
Industrial Noise Monitoring System
EchoShield is a noise monitoring and reduction prototype developed for industrial environments. The system detects high noise levels in metal industries and helps in monitoring sound exposure to enhance worker safety.
Offline Android Voice Assistant
Zeno is an offline Android voice assistant application that performs essential tasks such as opening apps, telling time/date, checking battery status, and responding through Text-to-Speech. It uses offline speech recognition, ensuring privacy.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.