Sign Language to Speech Conversion using Deep Learning
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Summary
Developed an AI-powered speech assistive tool utilizing deep learning for real-time American Sign Language (ASL) recognition, significantly enhancing accessibility.
Highly motivated Electronics & Communication Engineering graduate with a strong foundation in AI, IoT, and Data Analysis. Proven ability to develop innovative technical solutions, as demonstrated by building a CNN model for ASL recognition achieving 92% accuracy. Eager to leverage expertise in Python, SQL, and problem-solving skills to drive impactful contributions in a dynamic, technology-driven environment.
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B.E
Electronics & Communication Engineering
Grade: CGPA: 8.09
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Pre-University Course
Intermediate (MPC)
Grade: Percentage: 96%
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High School Diploma
X (SSC)
Grade: CGPA: 9.0
Awarded By
CBIT Tech Fest
Achieved finalist status in a competitive AI & Robotics Hackathon, demonstrating advanced technical skills and innovative problem-solving.
Awarded By
CBIT Fest (SHRUTHI)
Secured a runner-up position (top 2 out of 15+ participants) in the annual Chess Tournament, showcasing strategic thinking and competitive prowess.
Awarded By
Ramanujan Math Club, CBIT
Recognized for exceptional performance in a national-level mathematics quiz.
Issued By
NPTEL
Issued By
Internshala
Issued By
Infosys Springboard
Issued By
Coursera
SQL, MySQL, Pandas, NumPy, MS Excel, Data Visualization, Statistical Analysis.
MS Excel, MATLAB, Verilog HDL, Database Design, System Optimization.
Analytical Thinking, Strategic Thinking, Troubleshooting.
Database Management, System Design.
Python, C.
TensorFlow, OpenCV, CNN, Image Processing, Deep Learning, Computer Vision.
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Summary
Developed an AI-powered speech assistive tool utilizing deep learning for real-time American Sign Language (ASL) recognition, significantly enhancing accessibility.
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Summary
Designed and optimized a SQL-based employee management system to streamline HR operations and improve data retrieval efficiency.
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Summary
Constructed a comprehensive Road Accident Analysis Dashboard using MS Excel and SQL to identify critical trends and inform safety strategies.