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🌟 Featured Projects

Project # Project Name
1 Capstone Project II: Voice-Activated Sentiment Analyzer with Speech Response
2 Capstone Project I: Facial Recognition System using Python and OpenCV
3 Industry Co-Op: Text Generation Model
4 Industry Co-Op 2: Text-to-Image Generation using Stable Diffusion
5 Major Project: Raspberry Pi Portable Screen
6 Minor Project: Traffic Light Simulation with Microcontroller
7 Department Elective: Image Classification using MobileNetV2
8 Department Elective 2: Object Recognition using InceptionV3
9 Department Elective Lab 1: Age Prediction using CNN
10 Department Elective Lab 2: Lung Nodule Detection using CNN

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This README will continuously evolve as more projects come into play. Feel free to dive into the code, contribute, and join the journey toward innovation!

Niladri Das's Projects

acoustic icon acoustic

The Real-Time Audio Processing System is an FPGA-based project that leverages VHDL to implement a sophisticated audio processing pipeline. The system is designed to process audio input in real-time, applying customizable filters and effects to enhance or modify the audio output.

amoeba-division-arrangements icon amoeba-division-arrangements

A Python project to calculate the number of ways to arrange items into groups using memoization, with memory profiling for optimization.

ats-opensource icon ats-opensource

An open-source Applicant Tracking System (ATS) designed to streamline the recruitment process. Manage job postings, applications, and candidate information efficiently.

chatbot icon chatbot

The chatbot is designed to engage in conversations with users based on predefined patterns and responses.

churnprediction icon churnprediction

This repository houses a machine learning model designed to predict customer churn. By analyzing customer data, the model identifies users at risk of canceling their subscriptions, enabling targeted retention strategies.

dataanalysis icon dataanalysis

An open-source Python script for data analysis and exploration using pandas. This tool provides insights into tabular data, offering descriptive statistics, data information, and a glimpse of the dataset through the first few rows.

deeplearning icon deeplearning

A time series prediction model using Long Short-Term Memory (LSTM), a type of Recurrent Neural Network (RNN), to predict the future stock prices of Tesla (TSLA) based on historical data.

deepvision icon deepvision

This project leverages the power of deep learning through TensorFlow and Keras to create an image classification model. Trained on the CIFAR-10 dataset, the model utilizes the MobileNetV2 architecture to accurately classify diverse objects within images.

facerecognition icon facerecognition

Face recognition program using OpenCV and the face_recognition library

firmware icon firmware

Home to the Firmware project - empowering scientists and mathematicians with versatile embedded system solutions.

gan icon gan

This project focuses on training a GAN on the MNIST dataset to create synthetic handwritten digits.

imageclassification icon imageclassification

Accurate image classification powered by InceptionV3 deep learning model. Quickly classify diverse images with high precision using TensorFlow.

movieml icon movieml

A movie recommendation system that suggests films you might like based on what similar users enjoy and the details of the movies.

permutation-cycles icon permutation-cycles

Calculates the average of squared steps to restore order by repeatedly applying permutations of length n. Includes a Jupyter Notebook.

rl-library icon rl-library

Autonomous Navigation: Empowering robots to navigate the world, one step at a time.

sentiment-analysis icon sentiment-analysis

A sentiment analysis project using Naive Bayes in Python. It shows how to classify text as positive, negative, or neutral.

takashi icon takashi

2024 Takashi: The Samurai Duel Game. All rights reserved.

text-to-image icon text-to-image

This project enables you to generate images from text descriptions using the powerful Stable Diffusion model.

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