Jun 2020 – Dec 2020 · 6 mos

• Project: Leaf classification System Using CBIR Technique
• Project Description:
• I was an intern Python programmer for five months (Aug 2020 - Dec 2020), where I participated in researching different methods of leaf classification and preparing script for leaf classification system using content-based image retrieval (CBIR). I used Python, VSCode, and supervised machine learning techniques in this project.
• Responsibility:
• Prepared and processed the dataset for image analysis
• Defined and implemented the image descriptor for feature extraction
• Developed the Python script for leaf classification
• Integrated and built the searcher to retrieve and rank relevant results

Jun 2020 – Aug 2020 · 2 mos · Remote

• Project: “network anomaly detection and inspection using AI”
• Project Description:
• I was an intern Python programmer for two months (1 June 2020 to 31 July 2020), where I participated in researching different types of attacks, network anomaly detection techniques, packet capturing, and datasets such as KDD99 and NSL-KDD. I also built machine learning models using neural network and random forest classifiers to detect anomalies with accuracies of 90% and 94%, respectively. I used Python, TensorFlow, pandas, sklearn. Numpy, Anaconda Jupyter notebook and Wireshark
• Responsibility:
• Conducted research and gathered information on existing network anomaly intrusion detection systems
• Captured network packets using Wireshark
• Preprocessed the dataset and developed a machine learning model to identify network anomalies
• Developed Python code for neural network and random forest classifiers to detect anomalies

May 2020 – Aug 2020 · 3 mos