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Full Stack Developer | Django | ReactJs | Python | Java
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Sri Krishna College of Engineering and Technology
Full Stack Developer
June 12, 2026 – Present
Used-Car-Price-Prediction
June 2, 2024 – June 2, 2024
Python-based regression model for KaggleX skill assessment challenge. It predicts car prices using PyTorch, with optimized hyperparameters and evaluated performance. Predictions are saved in a CSV file.
View ProjectAI-Pharma-Insights
May 27, 2024 – June 3, 2024
"AI Pharma Insights: Prescription Analysis and Drug Recommendation" embodies the synergy between artificial intelligence and pharmaceutical sciences, offering a glimpse into the future of precision medicine and data-driven healthcare decision-making.
View ProjectMERN_Portoflio
May 17, 2024 – May 17, 2024
This project serves as a centralized hub for displaying my professional portfolio, including details about me, my projects, skills, certifications, and ways to contact me. Whether you're a potential employer, client, or collaborator, this website provides insights into my background, expertise, and accomplishments.
View ProjectVedaMed_Symptoms_API
March 27, 2024 – March 28, 2024
The VedaMed Symptom API is a Flask-based backend application that predicts diseases based on patient symptoms and generates synonyms for provided symptoms. It provides simple yet powerful endpoints for disease classification and symptom synonym generation, making it a valuable tool for healthcare professionals and developers.
View ProjectLivFit
March 11, 2024 – May 13, 2024
LivFit employs machine learning to offer personalized diet recommendations, considering individual nutritional needs and dietary preferences. By analyzing food content and user data, it generates customized meal plans for balanced nutrition and healthier eating habits. With its user-friendly interface and robust backend.
View ProjectSmart_Parker
March 4, 2024 – March 4, 2024
SmartParker is aimed at optimizing parking operations and enhancing urban mobility. It includes simplifying parking for both operators and users, providing real-time parking information, optimizing space usage. The goals revolve around improving parking efficiency, reducing congestion, and enhancing the experience without relying on sensors.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from web development to machine learning and data science. This breadth could indicate adaptability and a willingness to explore different technical domains. However, the projects are all personal and lack details on collaborative efforts or team dynamics, making a comprehensive cultural fit assessment challenging. The target role is 'Full Stack Developer', and while the projects touch upon relevant technologies, the depth of experience in a professional team setting is not evident.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.