Sayandeep Maity (sayandeepmaity)

sayandeepmaity

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Sayandeep Maity's repositories

aeronet

AERONET (Advanced Emotional Recognition and Observation Network ). This was the Problem statement: Mental Disorder Detection. The system collects audio and visual data from individuals, processes it using machine learning algorithms, and provides a comprehensive psychological assessment to mental health professionals remotely.

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genesis

GENESIS tracks pandemics and predicts when they will reach your location. Here Phase 1 focuses on frontend development, offering a user-friendly interface for epidemic monitoring and intervention.

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gseep

A deep learning UNET-BASED building footprint extraction using satellite imagery and geospatial analysis. Part of the GSEEP project.

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luminator

Microphone Array-Based Direction of Arrival of Gunshot Detection .Gun violence remains a critical concern. Identifying the precise location of a gunshot—or getting as close as humanly possible—is crucial for saving lives and ensuring public safety.

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serverless-stack-api

(Backend – Serverless API) This directory contains the backend logic of your application, built using AWS Lambda and configured via the Serverless Framework. WingNote's backend is powered by a serverless architecture, ensuring reliable performance and scalability. Built on AWS Amplify, seamlessly handles user authentication, data storage, and real

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serverless-stack-client

(Frontend – React App) built with React, where users interact with the UI. It’s deployed separately (likely to S3 + Netlify). WingNote: Your seamless note-taking companion. Effortlessly watch, write, and organize notes with YouTube integration and easy dark/light mode switching.

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signwave

SignWave is a real‑time sign language alphabet recognition system that uses MediaPipe hand keypoints and an LSTM deep learning model to accurately classify gestures via webcam—no facial tracking or wearables required.

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vseven_lumi

An FPGA based solution with suitable algorithm for classification and localization of sound. The final result will be displayed on Graphic LCD.

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