AI-Based Predictive Maintenance System for Rolling Bearings Fault Detection Using Vibrational Signal Analysis
Final year project focused on predictive maintenance and rolling bearing fault detection using vibrational signal analysis.
B.Tech Artificial Intelligence Student
B.Tech Artificial Intelligence student with skills in machine learning, Python, SQL, deep learning, data analytics, Power BI, and computer vision.
Inspire Softech Solutions
June 2024-July 2024; 1 1/2 months
Worked on Predicting Water Quality Using Machine Learning using Python in Jupyter.
Codec Technologies
June 2025-August 2025; 2 months
Worked on AI Based Object Dimension Detection Using Artificial Intelligence using Python in VS Code.
Infotact Solutions
May 2026-August 2026; 3 months
Worked on Smart Farming Computer Vision for Crop Disease Detection using VS Code and Colab.
Bachelor of Technology, Artificial Intelligence
2022-2026
CGPA: 7.07
Intermediate
2020-2022
Percentage: 62.5%
SSC
2019-2020
Score: 600 (100%)
Final year project focused on predictive maintenance and rolling bearing fault detection using vibrational signal analysis.
Machine learning project completed during an internship at Inspire Softech Solutions using Python and Jupyter.
Artificial intelligence project completed during an internship at Codec Technologies using Python and VS Code.
Computer vision project completed during an internship at Infotact Solutions using VS Code and Colab.
AI project focused on demand forecasting and inventory optimization, completed during an internship at Infotact Solutions using VS Code and Colab.