Yash Awasthi

yashs.online | linkedin.com/in/yash-awasthi-a7aa5b334 | github.com/Yashdotin | yashawasthi854@gmail.com

Education

Babu Banarasi Das Institute of Technology and ManagementLucknow, India
Bachelor of Technology (BTech) in Computer Science Engineering (AI & ML)2023 – 2027
Bal Nikunj Inter CollegeLucknow, India
Senior Secondary (PCM)2021 – 2023

Projects

MegaPixel Creations | Django, HTML, CSS, JavaScript, Bootstrap2026
  • Built a full-stack photography platform using Django with dynamic gallery management.
  • Implemented backend for image upload, storage, and optimized rendering.
  • Focused on responsive UI, performance optimization, and scalable deployment on Render.
Heart Risk Prediction System | Python, scikit-learn, Flask2025
  • Developed an ML classification system using scikit-learn to predict heart disease risk.
  • Compared Logistic Regression, Naive Bayes, KNN, and SVM, evaluated via precision, recall, and F1-score.
  • Achieved ~85% accuracy; deployed an interactive web interface on Render.
Chanakya | Python, SpeechRecognition, pyttsx32025
  • Built a desktop AI voice assistant capable of answering questions, opening apps, and playing music through natural language commands.
  • Implemented NLP intent parsing and NVIDIA-powered speech processing for accurate voice command recognition.
Wanderlust | Node.js, Express.js, MongoDB, EJS, Bootstrap2024
  • Built a full-stack Airbnb-style property listing platform with user authentication via Passport.js.
  • Implemented create/edit/delete listings, a review system, Cloudinary image uploads, and MapBox location integration.
Arka | Node.js, Express.js, MongoDB, OpenAI API2024
  • Built a conversational AI chatbot with a clean chat interface and context-aware responses.
  • Implemented Server-Sent Events to stream token-by-token LLM responses into the frontend without page reloads.

Achievements

Completed 100 Days LeetCode challenge
Built an Arduino-based robotic car in a Tier-1 Robotics Workshop

Technical Skills

Languages: Python, C++, C, Java, JavaScript
Machine Learning: scikit-learn, Pandas, NumPy, Matplotlib, Seaborn
Web: Django, Node.js, Express.js, Flask, HTML, CSS, Bootstrap, EJS
Tools: Git, GitHub, VS Code, Render, Vercel

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