Turning data into intelligence — Computer Vision, NLP & LLMs | Python | AI/ML Intern @ ZenithraTech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
sales-analytics-system
January 14, 2026 – Present
sales-analytics-system — GitHub repository
View Projectpedestrian-tracking
November 3, 2025 – November 21, 2025
Custom-trained YOLOv8-based pedestrian detection and tracking system using Python and OpenCV. Includes dataset creation, model training, and benchmarking pipeline for real-time performance evaluation.
View ProjectFaceRecognition
November 1, 2025 – November 11, 2025
Real-time face recognition and attendance system using Python, OpenCV, and face_recognition library. Detects, identifies, and logs attendance with automatic image encoding and storage.
View ProjectMy-Intent-App
October 3, 2025 – November 21, 2025
🤖 An AI-powered intent classifier built with Python, Google's Gemini API, and Streamlit. It analyzes user queries to determine intent and suggest actions.
View Projectsvm-classification-project
September 4, 2025 – Present
An SVM model in Python to classify data using linear and RBF kernels.
View ProjectLogistic_Regression_BreastCancer
August 29, 2025 – August 29, 2025
Logistic Regression project on Breast Cancer dataset using sklearn
View ProjectKNN-Iris-Classifier
August 29, 2025 – November 21, 2025
KNN Classifier on Iris dataset using Python.
View Projectfraud-detection-app
July 4, 2025 – October 4, 2025
A machine learning-powered application designed to detect fraudulent activities in transactional data. This project enables users to analyze, flag, and report potentially suspicious transactions using state-of-the-art algorithms, robust data processing, and interactive dashboards. Features include customizable detection
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in machine learning and data science through numerous personal projects. The diversity of projects, ranging from intent classification to fraud detection and real-time tracking, indicates a proactive and curious mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.