ABHILASHA PENNA

Collaborative Technical Support Engineer specializes in exploiting internal and external relationships to synergistically tackle complex issues. Elicits aid from vendors, colleagues and other external sources to improve ticket responses. Combines personal expertise with diverse professional relationships to support maximum support quality.

• Singing
• Dancing
• Anchoring

This project aims to interconnect all blood donors into a single network, where donor information can be stored and easily accessed. The goal is to facilitate quick and efficient access to donor data when blood is needed, without relying on third-party intermediaries. The system allows admins to manage information regarding blood donors and recipients, enabling direct communication and quick decision-making in emergency situations.

The purpose of this project is to predict house prices based on previous market trends and future developments. By using machine learning techniques, the system aims to offer pricing predictions that cater to both literate and illiterate customers, helping them make informed decisions according to their budgets and priorities. It analyzes historical data and upcoming real estate trends to forecast future prices.

This project focuses on predicting crime rates in the future, helping to identify areas and age groups that may have higher or lower criminal tendencies. The K-Means clustering algorithm is used to group and analyze crime data, which can assist law enforcement and policymakers in focusing on high-risk areas or demographics, thereby improving prevention strategies and reducing crime rates.