
π Hi, I'm Pradeep Kumar S β a passionate tech enthusiast and self-taught developer focused on AI, Web Apps, and IoT projects.
AI is analyzing your overall scoreβ¦
Identifying your key strengthsβ¦
Evaluating your skill match against the job requirementsβ¦
Assessing your cultural and operational fit
High-Voltage-Laser-Fighting-Drone-
July 16, 2025 β July 16, 2025
High Voltage Laser Fighting Drone prototype using Arduino. Controls quadcopter motors and a laser module via simple serial commands. Designed for educational purposes to explore drone control and laser activation integration. Safety precautions advised due to laser use and high voltage components.
View ProjectBluetooth-Control-Car-
July 16, 2025 β July 16, 2025
π A Bluetooth-controlled Arduino car project using an HC-05 module and L298N motor driver. Control the car via Android app using simple commands. Great for learning Arduino, Bluetooth communication, and motor control. Built with Arduino UNO, ideal for robotics beginners
View ProjectObstacles-Avoiding-Car
July 16, 2025 β July 16, 2025
π An Arduino-based obstacle avoiding car project using an ultrasonic sensor and L298N motor driver. Detects and avoids obstacles automatically using distance-based logic. Ideal for beginners in robotics and embedded systems.
View ProjectDiabetes-Predictor
July 16, 2025 β July 16, 2025
Sure! Here's a concise **GitHub repository description withinπ©Ί A machine learning web app built with Readdy AI to predict diabetes risk based on health inputs like glucose, BMI, age, and more. Uses the PIMA Diabetes dataset with a classification model. Fast, user-friendly, and perfect for beginners. Created for InternPe ML project.
View ProjectCar-Price-Predictor-
July 16, 2025 β July 16, 2025
π Car Price Predictor is a machine learning web app built using Readdy AI that estimates the resale value of cars based on inputs like brand, year, fuel type, transmission, and mileage. Easy-to-use, fully no-code, and ideal for learning regression models. Created for InternPe ML project.
View ProjectIPL-Winner-Predictor
July 16, 2025 β July 16, 2025
π IPL Winner Predictor - ML Web App This is a machine learning-powered web application built using **Readdy AI** that predicts the winning probability of IPL teams based on various match conditions. The app allows users to input key match details and receive instant win predictions in a clean and interactive UI.
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards personal learning and exploration across different domains (robotics, machine learning, web development). This indicates a curious and self-driven individual who could fit well into a culture that values continuous learning and initiative. The projects align with a problem-solving mindset, which is beneficial for cultural fit. The target role is Frontend Developer, and several projects (Diabetes-Predictor, Car-Price-Predictor, IPL-Winner-Predictor) directly involve frontend technologies (TypeScript, JavaScript, CSS), showing a relevant interest.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a clear ability to articulate technical concepts and project goals. The variety of personal projects suggests self-motivation and a proactive learning attitude. However, without formal assessment data (English Test, Psychometric Test), it is difficult to fully assess communication clarity, work attitude, stress handling, or team collaboration skills.