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Jyothy institute of technology
Data Scientist
June 21, 2026 – Present
EDGE-powered-XAI-based-Crop-recommendation-system
May 1, 2025 – Present
This project is a machine learning-based solution that recommends the most suitable crop to cultivate based on soil and climate conditions. It uses a dataset containing features such as nitrogen (N), phosphorus (P), potassium (K), temperature, humidity, pH, and rainfall, with the target variable being the crop label.
View Projectsign-language-using-CNN-openCV-and-Tensorflow-
January 18, 2025 – January 18, 2025
sign language detection using convolutional neural networks and openCV
View ProjectReal-estate-price-prediction
October 2, 2024 – October 2, 2024
Real estate price prediction is a machine learning problem that involves estimating property prices based on various factors such as location, size, number of rooms, amenities, and market trends. Regression algorithms are commonly used for this task, as they help establish relationships between these features and property prices.
View ProjectPlacement-Companion
June 8, 2024 – March 9, 2025
Placement Companion is an AI-powered tool designed to assist students and job seekers in preparing for placements, internships, and job interviews. It serves as a one-stop solution for career guidance, providing essential resources, mock tests, and personalized recommendations to help users land their dream jobs.
View Projecttravel-landpage
March 10, 2024 – March 9, 2025
A Travel Landing Page is a visually appealing and user-friendly webpage designed to promote travel destinations, tour packages, or booking services. It serves as the first point of interaction for users, enticing them with stunning visuals, engaging content, and smooth navigation.
View ProjectLanding-page-Study-abroad
March 10, 2024 – March 9, 2025
The Study Abroad Landing Page is a visually appealing and responsive web page designed to help students explore global education opportunities. This project, built using HTML, CSS, and JavaScript, aims to provide essential information about studying abroad, including universities, courses, scholarships, and application processes.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in data science. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit. The single listed 'experience' as 'Data Scientist' at 'Jyothy institute of technology' with a future start date and 'isCurrent: true' is ambiguous and lacks detail, making it hard to gauge professional experience and alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.