On my AI-DRIVEN CROP DISEASE DETECTION project, I applied image preprocessing and computer vision techniques to improve classification accuracy. I built an end-to-end machine learning pipeline for data collection, preprocessing, training, and prediction, and provided disease prevention and treatment recommendations.
For CUSTOMER SEGMENTATION FOR MALL, I explored 200 customer records and used K-Means clustering to identify six customer segments. I visualized the clusters with PCA, with the first two components explaining 89% of the variance.
At BRIGHTCODE SOFTWARE PVT LTD, I developed interactive web modules using JavaScript during my DIGITAL MODULE AND JS INTERN role. I also gained hands-on experience integrating digital concepts with practical coding.
On my automatic timetable management project, I worked on a Java-based system intended to generate college timetables automatically. In a group project focused on a smart attendance system using facial recognition, I contributed as a team lead.
