Barath B
N/A
Profile summary
A passionate programmer and aspiring developer with a strong foundation in coding, machine learning, deep learning, and fullstack web development. Skilled in Python and SQL with hands on experience in real world projects spanning healthcare, AI driven analysis, and system security. A quick learner and adaptable team player, driven to solve challenges, build efficient solutions, and contribute to impactful innovations. Open to diverse opportunities and committed to continuous growth in technology.
Career highlights
Heart Disease Prediction using ML and DL techniques - PROJECT: Worked on a project focused on automated cardiac disease classification using MRI scans to address the limitations of manual diagnosis. The system leveraged DenseNet121, a deep learning model, to classify four conditions heart failure with infarct, heart failure without infarct, hypertrophy, and normal states with high accuracy. My contributions included assisting in training and finetuning the deep learning model to improve performance, as well as developing web-based modules to visualize and present diagnostic results in a user-friendly manner.
THERAI.PY - PROJECT: At Andiran HealthTech Pvt Ltd, I developed a Flutter-based mobile application designed to monitor and support users' mental health. The app evaluates stress, anger, and depression levels, offering personalized wellness tips tailored to individual needs. I integrated key features such as a mood journal for daily emotional tracking and guided breathing exercises to encourage mindfulness and self-care. My work focused on building an intuitive and accessible interface, ensuring seamless user interaction and making mental health support more engaging and effective.
AI-Powered Keystroke Monitoring with Inappropriate Content Alerts - PROJECT: Developed an employee monitoring and security system combining a keylogger and centralized storage. The system records keystrokes with timestamps, application details, and window titles, while detecting inappropriate or sensitive content and sending real-time alerts. Designed a secure web interface for administrators to analyze logs, track productivity, and ensure compliance. Implemented encryption to protect stored data, ensuring access only for authorized personnel. This project strengthens workplace security by preventing data leakage, insider threats, and policy violations.
URBAN ORGANIC FARMING - PROJECT: Contributed to the development of a smart plant care system leveraging advanced sensors and a KNN-based machine learning model to monitor plant health and growth in real time. Worked on training and integrating the ML model to generate accurate insights, and developed a web platform to present these insights in a user-friendly way. The project aimed to simplify plant maintenance and promote sustainable urban farming through data-driven support.
HEART DISEASE PREDICTION USING DEEP LEARING - PATENT INDIA: Co-inventor of the patent ‘Heart Disease Prediction Using Deep Learning’ (Application No. 202541032925), filed under the category of Bio-Medical Engineering with the Intellectual Property India, Ministry of Commerce & Industry. The patent, filed in April 2025 and currently published and awaiting examination, focuses on leveraging deep learning models for accurate and efficient prediction of heart disease, aimed at improving diagnostic support in healthcare.
Cardiomegaly Detection Using Deep Learning - PUBLICATION: Co-authored and presented the research paper ‘Cardiomegaly Detection Using Deep Learning’ at the International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), December 2024. The study focused on leveraging deep learning techniques for accurate detection of cardiomegaly from chest X-ray images, enhancing diagnostic efficiency and reliability. Contributed to model development, experimentation, and result analysis as part of a collaborative research team.
Key skills
Professional experience
As an intern at Andiran HealthTech Private Limited, Chennai, I contributed to the development of a Mental Health Prediction Application. My role involved building a Flutter-based mobile app that tracks users' emotions through a daily emotional journal with calendar visualization using color codes and emojis. I also developed a deep learning model for real-time facial emotion detection, integrated tips to help users manage mental health issues like sadness, anger, and phobia, and ensured a smooth and user-friendly experience to support mental wellness.
As an intern at Andiran HealthTech Private Limited, Chennai, I contributed to the development of a Mental Health Prediction Application. My role involved building a Flutter-based mobile app that tracks users' emotions through a daily emotional journal with calendar visualization using color codes and emojis. I also developed a deep learning model for real-time facial emotion detection, integrated tips to help users manage mental health issues like sadness, anger, and phobia, and ensured a smooth and user-friendly experience to support mental wellness.