🤖 Machine Learning Enthusiast | B.Tech AI/ML Student 🔬 Building AI projects and exploring Deep Learning
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Assessing your cultural and operational fit
self
Software Engineer
June 15, 2026 – Present
Sexual-Harassment-Detection
March 29, 2026 – Present
Sexual Harassment Detection is an AI-based system that identifies sexually inappropriate or abusive text in messages or online content using Natural Language Processing (NLP). It helps detect harmful language and improve online safety.
View ProjectUAV-path-panner-
March 29, 2026 – Present
UAV Path Planner is a project that uses algorithms or Artificial Intelligence to help an unmanned aerial vehicle (drone) find the best path from a start point to a destination. The system plans a safe route while avoiding obstacles. It helps improve autonomous navigation and efficient drone movement. 🚁📍
View ProjectSMS-Spam-Detection-project
March 29, 2026 – Present
MS Spam Detection is a machine learning system that identifies whether a message is spam or not spam (ham). It analyzes the text of SMS messages and learns patterns using training data. The model then predicts if new incoming messages are spam. 📩🤖
View ProjectRock-vs-stone-prediction
March 29, 2026 – Present
Rock vs Stone Prediction is a machine learning project that classifies objects as rock or stone/mine using sonar signal data. Python and ML algorithms are used to train a model on the dataset. The trained model can then predict the type of object based on input signal values.
View ProjectCultural Fit Analysis
The candidate's projects indicate a focus on AI/ML, which could align with roles requiring data science or machine learning engineering. The diversity of project topics (NLP, drone path planning, spam detection, sonar classification) suggests a broad interest in applying AI to different problems. However, the 'experienceLevel' is 0, and the only listed experience is 'self' as 'Software Engineer' starting in the future (2026), which makes it difficult to assess real-world collaboration or professional work ethic.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.