🎓 Student at NMAM Institute of Technology | 🤖 AI/ML Engineering Student | 📊 Machine Learning | 🧠 DLL, CNN & GAN | 👁️ YOLO & OpenCV | 💬 NLP Enthusist
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NMAM Insitution Of Technology
Machine Learning Engineer
June 13, 2026 – Present
GeoSentinel-Landslide-Detection-System
April 16, 2026 – Present
GeoSentinel is an AI-powered landslide detection system that uses YOLOv8 and computer vision to identify landslide-prone areas from images and videos, providing real-time insights and risk alerts through an interactive Streamlit interface
View ProjectYOLO-Pedestrian-Car-Detection
March 1, 2026 – Present
YOLOv8-based deep learning model for detecting cars and pedestrians using a custom annotated dataset.
View Projectobject-Detection-using-C-OpenCV
November 19, 2025 – November 19, 2025
Object detection using C++ and OpenCV identifies and locates objects in images or video by using trained models like Haar cascades or DNNs, providing fast, accurate, and real-time detection.
View ProjectPower_Bi_lab_cell
November 11, 2025 – Present
A data-driven Power BI dashboard that analyzes e-commerce performance using KPIs, DAX measures, and interactive visualizations to identify profit and loss trends.
View ProjectQuestion-Generation-from-Multilingual-Text-and-Speech
October 21, 2025 – Present
End-to-end NLP application for automatic question generation from text/audio using T5 models, featuring multilingual support, TTS, and export capabilities.
View Projectportfolio-using-Python-and-Streamlit
October 18, 2025 – Present
This Repository Contains MY Protfolio done with help of Streamlit
View ProjectNNDL-neural-network-and-deep-learning-
October 11, 2025 – October 14, 2025
My NNDL practice projects
View ProjectBanking-Management--System-Java-based-DBMS-project
April 22, 2025 – Present
Banking Management System is a Java-based DBMS project using Swing and AWT for UI, and MySQL for the database. It supports login, account creation with personal details, and basic banking operations like deposit, withdrawal, PIN change, and viewing transaction history.
View ProjectCultural Fit Analysis
The candidate shows a broad interest in various technical domains, including machine learning, data analysis (Power BI), and traditional software development (Java, C++, Frontend). This diversity suggests adaptability and a willingness to explore different areas, which can be a positive for cultural fit in dynamic environments. However, the project descriptions are sometimes brief or lack detail, which could indicate a need for improved communication regarding project scope and impact.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.