🎓 Computer Science Engineering Student (2028)
💻 Aspiring Software Engineer | Machine Learning Enthusiast | DSA Learner

• 🌱 Currently learning Full-Stack Development, Machine Learning, and DSA
• 🤖 Passionate about building AI-powered web applications
• 📈 Love solving real-world problems with technology
• 🎯 Goal: Become a skilled Software Engineer and contribute to impactful products

Languages

• Python
• C++
• Java
• JavaScript

Web Development

• HTML
• CSS
• Flask

Machine Learning

• Scikit-learn
• Random Forest
• Embeddings
• Logistic Regression

Tools

• Git
• GitHub
• VS Code

Tech: Python • Flask • Scikit-learn • TF-IDF • Logistic Regression

🔗 Repository: https://github.com/Khushii-exe/Email_spam_detector

• Built an end-to-end spam classification system with ~97% accuracy.
• Used TF-IDF vectorization and Logistic Regression for classification.
• Developed a Flask web application for real-time predictions.
• Added dynamic UI feedback based on prediction results.

Tech: React • Gemini API • Recharts • JavaScript

🔗 Repository: https://github.com/Khushii-exe/my-gemini3-app

• Developed an AI-powered decision support application.
• Simulated multi-step decision workflows.
• Visualized outcomes using Recharts.
• Supported multimodal inputs including text, voice, and images.

• Data Structures & Algorithms
• System Design Fundamentals
• Machine Learning

• 🚀 Consistently solving DSA problems on LeetCode.
• 📖 Exploring Machine Learning and Generative AI.
• 💻 Building practical projects to strengthen development skills.

• 💼 LinkedIn: https://www.linkedin.com/in/khushii-singh-k25042006s
• 💻 GitHub: https://github.com/Khushii-exe

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