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I'm Navya Srivastava, a Computer Science student, Machine Learning enthusiast, and Full Stack Developer passionate about building AI-powered applications that solve real-world problems through data, automation, and innovative technology.
I am a B.Tech Computer Science student at VIT Bhopal University with a strong interest in Artificial Intelligence, Machine Learning, Natural Language Processing, and Full Stack Development.
My journey began with learning Python and Java, which eventually evolved into building intelligent systems such as spam email classifiers, recommendation engines, and IoT-based safety solutions.
I enjoy transforming ideas into practical products that improve user experiences and solve real-world challenges.
Develop predictive models, recommendation systems, and intelligent applications using Machine Learning.
Build responsive and scalable web applications using Flask, JavaScript, MongoDB and SQL.
Analyze and visualize data to extract insights and support data-driven decisions.
Apply algorithms and logical thinking to solve complex technical challenges.
Machine Learning, NLP, Recommendation Systems, Text Classification, Feature Engineering
EDA, Data Cleaning, Data Visualization, Statistical Analysis, Reporting
HTML5, CSS3, JavaScript, Flask, Django
Python, Java, JavaScript, SQL
MySQL, SQLite, Database Design, Query Optimization
Git, GitHub, VS Code, Google Colab
VibeSync is an AI-powered music recommendation platform that delivers personalized song suggestions based on a user's mood and listening preferences. By leveraging machine learning techniques, the application analyzes emotional patterns and recommends playlists that align with the user's current state of mind. The platform also provides mood analytics and personalized insights, creating an engaging and adaptive music discovery experience.
SpamShield is an intelligent email classification system designed to detect and filter spam messages using machine learning and natural language processing techniques. The application analyzes email content, identifies spam patterns, and provides real-time predictions with spam probability scores. To improve user experience, the platform also highlights suspicious keywords and maintains a history of recent predictions for analysis and monitoring.
HerShield is an IoT-enabled personal safety solution designed to enhance women's security through real-time emergency assistance and location tracking. The system combines a mobile application with smart hardware components to provide instant SOS alerts, GPS-based location sharing, and emergency communication. By leveraging connected technologies, HerShield aims to deliver a reliable and accessible safety companion that enables faster response during critical situations.
Farmify is a smart farm management platform designed to help farmers streamline agricultural operations through digital tools and data-driven insights. The platform provides features such as crop planning, weather monitoring, and farm record tracking, enabling farmers to make informed decisions and improve productivity. By centralizing essential farming information in a user-friendly interface, Farmify aims to support efficient and sustainable agricultural practices.
Maintaining strong academic performance in Computer Science Engineering.
Worked on AI, NLP, Flask, Django and Python development projects.
Built AI-powered applications, IoT systems and intelligent web tools.
Certified in AI, Data Science, Generative AI and Graph Theory.
Ranked among the Top 75 teams out of 950+ teams in Smart India Hackathon.
Current CGPA: 8.39
Percentage: 91.25%
Percentage: 97.2%
Whether it's AI, Machine Learning, Web Development, Data Analytics, or innovative ideas, I'm always excited to collaborate and learn.