_projects

projects
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projects

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Project 1

// _saloon-booking-app

Cross-platform salon booking client — Vue 3, Vite, and Capacitor for web, Android, and iOS from one codebase. Leaflet maps for discovery, Firebase auth, Axios-backed APIs, Bootstrap UI, and separate web/mobile entry points with Capacitor hot reload for faster mobile iteration.

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Project 2

// _saloon-booking-api

Express + MongoDB REST API for the salon booking platform. JWT authentication, bcrypt password hashing, role-based access control, and automatic default-admin creation on startup — built for secure multi-role workflows between customers, staff, and administrators.

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Project 3

// _speech-emotion-ml

Final-year B.E. project (NMAM Institute of Technology) — detects emotion from live voice using MFCC features and a CNN built with TensorFlow/Keras. Trained on RAVDESS, TESS, and EmovoDB; classifies five emotional states with ~72% validation accuracy and recommends mood-based music through a real-time GUI.

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Project 4

// _sign-language-lstm

Text-to-sign-language system that maps typed words to hand gestures. Downloads WLASL sign videos, extracts MediaPipe Holistic keypoints into .npy sequences, and trains an LSTM (TensorFlow) to predict gestures — aimed at bridging communication between spoken and sign language users.

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