NITIN

Motivated and detail-oriented Computer Science student with a strong foundation in programming, data structures, and machine learning. Specializing in Artificial Intelligence and Machine Learning with hands-on experience in Python, data analysis, and model development. Passionate about solving real-world problems through technology, with academic projects focused on deep learning and data-driven applications. Eager to contribute to innovative AI/ML projects in a collaborative environment.

• Internship Certificate- Excellence Technology
• Data Structures & Algorithms Training - Udemy
• Python Training-Udemy

• Face Detection Model
  Built a face detection system using deep learning-based methods (e.g., OpenCV DNN module or a pre-trained CNN model) to detect faces in images and real-time video streams.
• Loan Prediction Model
  Created a machine learning model using logistic regression and decision trees to predict loan approval based on user input data.
• YouTube API Analysis
  Used the YouTube Data API to collect and analyze video data (views, likes, comments), with visualizations created using Matplotlib and Pandas.
• Happy-Sad Image Classification
  Trained a CNN model to classify images as 'happy' or 'sad' using TensorFlow and a labeled dataset, achieving high accuracy in validation.