Final year ECE student at St. Martin's Engineering College with CGPA 8.47. Building intelligent systems at the intersection of AI, Signal Processing, and Web Development — from healthcare AI to voice recognition to IoT automation.
I'm Gowtham Lovely Kumari, an AI & ML developer and final year ECE student at St. Martin's Engineering College, Hyderabad. I build systems that learn, adapt, and solve real problems.
My work spans healthcare AI, voice recognition, signal processing, and IoT automation. I've built and deployed 2 AI-powered hackathon projects and maintain strong academic performance with a CGPA of 8.47.
Currently working as a Documentation & Quality Support Executive at Outlier.ai, where I validate AI-driven workflows and improve enterprise delivery pipelines.
Building and training intelligent models for classification, prediction, and pattern recognition.
Multi-language developer comfortable across scripting, systems, and web programming.
Building full-stack applications and REST APIs with modern frameworks.
Designing embedded systems, sensor integration, and real-time hardware automation.
Professional toolchain for version control, testing, and cloud-based development.
Strong foundation in software engineering principles and quality assurance.
Full-stack AI web application that analyses voice recordings to detect gender, emotion (7 types), age group, and speaker identity. Features CNN (Mel Spectrogram), Bidirectional LSTM (MFCC), and 5 classical ML models with auto-selection of best performer at 96.78% accuracy.
AI-powered healthcare assistant providing symptom-based guidance with 85% accuracy. Integrated multiple AI APIs with data validation logic ensuring ethical and reliable health recommendations. Features responsive UI with real-time API communication.
Intelligent health support system leveraging AI for early-stage disease awareness and preventive guidance. Built modular architecture enabling easy integration of additional AI models and health databases with robust data validation pipeline.
Applied advanced signal-processing algorithms to audio data, optimizing performance metrics by 40%. Designed and tested embedded system using Arduino with sensor integration for real-time audio analysis.
Blockchain-based agricultural supply chain system bringing transparency between farmers, distributors, and consumers using distributed ledger technology for trust and traceability.
Sensor-based automation solutions for smart home applications using Arduino microcontrollers. Implemented efficient data collection and control systems with real-time monitoring capabilities.
I'm open to internships, project collaborations, hackathons, and full-time opportunities in AI/ML and software development. Let's build something great!
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