AIML student passionate about ML, DL, NLP, and robotics, creating practical AI solutions and smart systems through innovative, data-driven projects.
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PixelPen
Software Engineer
June 15, 2026 – Present
Grama-katha
May 5, 2026 – Present
Grama-Katha is a digital village governance platform enabling citizen services, record management, transparency, efficient administration, and communication. Username: pruthvinarayanareddy@gmail.com , Password: 123456789 (Login Credentials)
View ProjectAI_Research_Paper_Summarizer
December 17, 2025 – Present
AI-powered application that automatically summarizes research papers and explains complex technical concepts in simple language using NLP and Generative AI. Built with Python, Hugging Face Transformers, and Streamlit for academic and research use.
View Projectheart-disease-detection
November 25, 2025 – November 25, 2025
This project builds an ML-based Heart Disease Detection system using the UCI dataset with feature preprocessing, classification modeling, and Random Forest. It provides a Streamlit web app for real-time prediction, enabling accurate risk analysis from patient clinical features.
View Projectdiabetes-detection-ml
November 23, 2025 – Present
A complete Machine Learning project for Diabetes Detection using the PIMA Indians dataset. Includes model training, evaluation, and a fully interactive Streamlit web application for predicting diabetes based on patient health inputs.
View ProjectStudy-time-table-generator
April 3, 2025 – December 17, 2025
A smart Study Timetable Generator that creates personalized schedules based on subjects, available hours, priorities, and deadlines. It helps students manage time efficiently, balance workload, reduce stress, and improve productivity with an optimized, easy-to-follow study plan.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse interest in AI/ML, web development, and some mobile-related technologies (Kotlin). The target role is 'Mobile Application Developer', and while Kotlin is listed, the depth of mobile-specific projects is limited. The candidate has a 'Software Engineer' role at PixelPen, but no details are provided about the responsibilities or technologies used, making it difficult to fully assess cultural fit and alignment with a dedicated mobile role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.