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About Candidate
I am Rishu Gupta, a passionate and driven engineering student specializing in Electronics and Communication Engineering at Chandigarh University. With a strong foundation in machine learning, deep learning, and AI, I am deeply interested in research and development, particularly in AI-driven cybersecurity, computer vision, and NLP.
Key Skills:
Programming Languages: Python, C++ (Basics)
Machine Learning & AI: Deep Learning, Neural Networks, NLP, Computer Vision
Data Science & Analytics: Statistics, Pandas, NumPy, Image Processing, Audio & Video Processing
Databases: DBMS
Other: Data Structures & Algorithms (DSA), Project Management
Projects:
AI-Based Deepfake Face Manipulation Detection (Published in IJERT) – Developed a CNN-based model to detect deepfake images using TensorFlow & OpenCV.
Diabetic Retinopathy Detection – Built a deep learning model with 85% accuracy for classifying retina diseases.
Speech Emotion Recognition – Implemented an AI model to classify emotions from speech using Librosa & Scikit-learn.
AI-Based Advanced Threat Detection – Designed a cybersecurity model to detect malware using ML techniques.
Internships & Research:
Academic Research (Chandigarh University, April – June 2024)
Published research on AI-based deepfake detection.
Currently working on two additional AI research papers.
Certifications:
Machine Learning (Internshala) – Covered ML models, data analysis, and visualization.
Deep Learning (Internshala) – Gained expertise in CNNs, model training, and AI applications.
Natural Language Processing (Internshala) – Studied text analysis, speech recognition, and chatbot development.
Career Aspirations:
I aim to build a career in AI research and development, focusing on cybersecurity, deep learning, and AI-driven automation. My goal is to contribute to innovative AI solutions that enhance digital security, automate tasks, and improve human-computer interactions.
With my technical expertise, problem-solving skills, and research experience, I believe I am a strong candidate for research-intensive roles and internships in AI and data science.