
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a B.Tech Computer Science student specializing in AI and Robotics at VIT Chennai with hands-on experience in Machine Learning, Data Analytics, Automation, and Software Development. Through academic and personal projects, I have worked with Python, TensorFlow, PyTorch, SQL, Power BI, and UiPath to build real-world solutions ranging from AI-driven systems to analytics dashboards and automation workflows. I enjoy solving complex problems, learning new technologies, and building impactful products that combine intelligence with practical applications.
VIT Chennai
B.Tech · Computer Science
September 12, 2022 – April 8, 2026
Real-Time Hybrid Pothole Detection System
February 1, 2026 – April 8, 2026
This project implements a real-time pothole detection and alert system by combining Deep learning (ResNet-18) for image-based classification, Sensor data (MPU6050) for vibration-based detection, Live camera feed (ESP32 / Laptop Camera) and Backend server using Flask. The system detects potholes, logs data, captures images, and sends alerts automatically.
View ProjectSales Performance Analysis & Insights Dashboard
December 31, 2025 – March 1, 2026
A business intelligence dashboard built in Power BI to analyze over 500k real-world retail transactions, uncover revenue trends, and support strategic business decisions.
View ProjectAutomated Scholarship Finder & Notifier
September 1, 2025 – November 13, 2025
An RPA-powered automation system built using UiPath and Python to streamline scholarship discovery, eligibility filtering, and student notifications. The system automatically scrapes scholarship data from multiple websites, filters opportunities based on user profiles, and sends personalized email notifications containing eligible scholarships, deadlines, and application links.
View ProjectNetwork Anomaly Detection using Autoencoders
March 1, 2025 – April 21, 2025
This project focuses on detecting anomalies in network traffic using deep learning techniques, specifically Autoencoders. The goal is to identify malicious or abnormal network behavior by learning patterns from normal data and flagging deviations.
View ProjectAndroid App Development
Imarticus Learning
June 5, 2024 – July 10, 2024
Cultural Fit Analysis
Insufficient data to assess cultural fit. No projects, experience, or skills are provided to evaluate diversity, role alignment, or breadth.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.