AI Engineer Internship with less than a year in Python Programming & Artificial Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML & IoT Systems Student with a strong academic foundation in artificial intelligence, machine learning, and Internet of Things technologies. Possesses strong analytical, problem-solving, and logical thinking skills with a disciplined approach to learning and execution.
Bharti Vidyapeeth College Of Engineering (diploma)kolhapur
Diploma · Computer Science and Engineering
N/A – June 30, 2024
DY Patil Technical And Agriculture University Kolhapur
Bachelor of Computer Science & Engineering · Artificial Intelligence and Machine Learning
N/A – June 30, 2026
Domian Computer
Python Programming and Artificial Intelligence
May 19, 2024 – June 30, 2024
Kolhapur, Maharashtra, India
Multiple Disease Prediction Using Machine Learning
June 1, 2026 – Present
Developed a machine learning-based predictive system for detecting multiple diseases such as Diabetes, Heart Disease, and Parkinson's Disease. Utilized Python, Scikit-learn, Pandas, and NumPy for data preprocessing, model training, and prediction analysis. Implemented machine learning algorithms to improve prediction accuracy and created a user-friendly system for entering health parameters and generating prediction results. Applied concepts of classification, data analysis, and healthcare analytics to build an efficient disease diagnosis support system.
Automatic Sun Tracking Solar Panel Using IoT
June 1, 2026 – Present
Designed and implemented a smart solar panel system that automatically tracks the sun's position to maximize energy efficiency. Utilized IoT sensors (LDRs, servo motors) and microcontrollers (Arduino/ESP32) for real-time solar tracking.
IV Bag Monitoring And Alerting System using IoT
June 1, 2026 – Present
Developed an automated IV bag monitoring system using ESP32 and load cell to continuously track IV fluid levels and provide real-time audio and visual alerts when the fluid reaches a critical level, improving patient safety and reducing manual monitoring.
Smart Prioritization System Using Agenfic AI(ClinSense AI)
June 1, 2026 – Present
Developed an intelligent prioritization system leveraging Agenfic AI to analyze inputs and assist in decision-making through automated task and data prioritization. The system is designed to evaluate multiple parameters, generate context-aware insights, and support efficient workflow management. Applied concepts of artificial intelligence, basic machine learning, and system logic to improve accuracy, responsiveness, and operational efficiency. The project demonstrates analytical thinking, problem-solving skills, and practical exposure to AI-driven intelligent systems.
Clean River AI(Plastic Detection in River Using Computer Vision)
June 1, 2026 – Present
Developed a computer vision based project for detecting plastic waste in river environments using image processing and AI techniques. Worked on image analysis and object detection concepts to identify plastic waste efficiently. The system aims to support environmental monitoring, pollution tracking, and smart waste cleanup initiatives.
Password Generator Using Python
May 19, 2024 – June 30, 2024
Developed a secure Password Generator application using Python. Implemented functionality to generate strong, random, and customizable passwords using letters, numbers, and special characters.
IBM Python Certified
IBM
June 1, 2026 – Present
IoT Exploration with Arduino and ESP32
Unknown
June 1, 2026 – Present
MumbaiHacks 2025 the Largest Agenfic AI Hackathon
MumbaiHacks
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering healthcare, environmental monitoring, and IoT applications, which suggests adaptability and a broad interest in applying AI to various domains. The academic background in AI/ML aligns well with an AI Engineer role. The participation in a hackathon and self-driven certifications indicate initiative and a desire for continuous learning, which are positive cultural indicators. However, the lack of significant team-based professional experience limits the assessment of collaboration and broader cultural integration in a corporate setting.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through project descriptions. The academic focus on AI/ML and IoT, coupled with practical project implementation, suggests a disciplined approach to learning and execution. The participation in a hackathon indicates an interest in collaborative, fast-paced environments. However, the limited professional experience (one 6-week internship) means operational fit in a senior role is largely unproven.