CSE student skilled in Python, SQL & APIs. Passionate about backend development and building real-world solutions.

Savanam Lakshmi Gayathri  • Peerlist

• Developed a pet care application aimed at helping pet owners manage pet-related activities and services. • Worked on features such as pet care tracking, service information, and user-friendly interface design. • Focused on improving user experience through simple navigation and responsive design. • Collaborated on planning and organizing application features suitable for everyday pet care needs. • Gained hands-on experience in application development, UI design, and project structuring.

FURRR - AI PET HEALTH-CARE APP

SafeOrbit is an AI-powered public safety platform that analyzes community feedback and location-based risk factors to generate real-time safety heatmaps and safer travel routes. It helps users identify unsafe areas, view nearby emergency services, and make informed travel decisions based on time-sensitive safety data. What I Did in This Project-- - Developed a full-stack safety intelligence platform using Python, Flask, JavaScript, HTML, CSS, and SQLite. - Built an AI-based sentiment analysis system that evaluates user reviews and feedback using NLP keyword matching to determine safety levels. - Designed and implemented a dynamic safety heatmap using Leaflet.js to visually represent safe, moderate, and high-risk areas. - Created a time-aware safety scoring mechanism that recalculates risk levels based on the selected hour of the day. - Developed an intelligent route safety analyzer that generates a safety score (0–100) for a journey and dynamically colors routes based on risk levels. - Integrated emergency location mapping, including police stations, hospitals, and metro stations, to assist users during emergencies. - Implemented a community incident reporting system for collecting safety feedback and location-specific incidents. - managed a SQLite database for secure storage of user reports and safety-related information.