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Projects in Awesome Lists by SayamAlt

A curated list of projects in awesome lists by SayamAlt .

https://github.com/sayamalt/fake-reviews-detection

Successfully developed a machine learning model which can predict whether an online review is fraudulent or not. The main idea used to detect the fake nature of reviews is that the review should be computer generated through unfair means. If the review is created manually, then it is considered legal and original.

fake-review-detection machine-learning machine-learning-algorithms natural-language-processing text-processing

Last synced: 12 Apr 2025

https://github.com/sayamalt/water-quality-prediction

Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.

classification-models data-visualization exploratory-data-analysis feature-engineering imbalanced-learning model-deployment outlier-treatment supervised-machine-learning

Last synced: 31 Aug 2025

https://github.com/sayamalt/resume-classification-using-fine-tuned-bert

Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.

bert-model exploratory-data-analysis fine-tuning-bert model-evaluation nlp text-preprocessing text-tokenization word-embeddings

Last synced: 31 Aug 2025

https://github.com/sayamalt/company-bankruptcy-prediction

Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization docker-container exploratory-data-analysis feature-engineering github-actions hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 31 Aug 2025

https://github.com/sayamalt/bank-customer-segmentation

Successfully established a clustering model which can categorize the customers of a renowned Indian bank into several distinct groups, based on their behavior patterns and demographic details.

agglomerative-clustering clustering data-visualization dbscan-clustering exploratory-data-analysis feature-engineering kmeans-clustering model-optimization spectral-clustering unsupervised-machine-learning

Last synced: 15 Aug 2025

https://github.com/sayamalt/language-detection-using-fine-tuned-xlm-roberta-base-transformer-model

Successfully developed a language detection transformer model that can accurately recognize the language in which any given text is written.

bert-fine-tuning feature-engineering fine-tuning model-evaluation model-evaluation-metrics nlp text-classification text-preprocessing xlm-roberta

Last synced: 31 Aug 2025

https://github.com/sayamalt/ibm-stock-price-prediction

Successfully established a deep learning model which can forecast the closing stock prices of Apple based on its historical stock data from 2001 to 2017.

deep-learning lstm-neural-networks recurrent-neural-networks stock-price-forecasting time-series-analysis

Last synced: 01 Aug 2025

https://github.com/sayamalt/emotion-detection-using-fine-tuned-bert-transformer

Successfully developed a fine-tuned BERT transformer model which can effectively perform emotion classification on any given piece of texts to identify a suitable human emotion based on semantic meaning of the text.

bert-transformer emotion-classification feature-engineering fine-tuning-bert natural-language-processing natural-language-understanding text-preprocessing

Last synced: 10 Jan 2026

https://github.com/sayamalt/english-to-french-language-translation-using-seq2seq-modeling

Established a deep learning model which can translate English words/sentences into their corresponding French translations.

natural-language-processing neural-machine-translation sequence-to-sequence-models

Last synced: 16 Feb 2026

https://github.com/sayamalt/driver-drowsiness-detection

Successfully established a deep learning model which can accurately predict the drowsiness state of an individual and thereby alert a driver who is in a drowsy state for preventing fatal accidents.

convolutional-neural-networks deep-learning driver-drowsiness-detection opencv

Last synced: 28 Feb 2026

https://github.com/sayamalt/health-insurance-claim-prediction

Successfully established a machine learning model which can estimate the net health insurance claim of an individual based on a set of characteristics of that individual to an appreciable level of accuracy.

exploratory-data-analysis feature-engineering feature-scaling machine-learning model-deployment regression-analysis regression-testing

Last synced: 09 Nov 2025

https://github.com/sayamalt/stellar-classification---sloan-digital-sky-survey-17

Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.

cross-validation data-preprocessing data-visualization exploratory-data-analysis feature-engineering feature-scaling imbalanced-learning model-deployment model-evaluation model-training multiclass-classification supervised-machine-learning

Last synced: 11 Jan 2026

https://github.com/sayamalt/beauty-classification

Successfully established a deep learning model which can accurately predict whether a woman's face is beautiful or average.

computer-vision convolutional-neural-networks image-classification image-data-generator

Last synced: 19 Oct 2025

https://github.com/sayamalt/liver-cirrhosis-stage-prediction

Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.

exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation-metrics model-training multiclass-classification supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/children-adult-classification

Successfully established a deep learning model which can precisely classify a human being as a child or an adult.

computer-vision convolutional-neural-networks image-data-generator image-recognition opencv

Last synced: 09 Nov 2025

https://github.com/sayamalt/amazon-sales-data-analysis

In this project, I have analyzed Amazon sales records, defined KPIs(Key Performance Indicators) and established meaningful relationships between them for deriving useful statistical insights.

Last synced: 09 Nov 2025

https://github.com/sayamalt/credit-card-fraud-detection

Established a machine learning model which can predict whether a credit card transaction is fraudulent or not to a significant level of accuracy.

classification feature-engineering machine-learning model-deployment supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/flowers-recognition

Successfully trained a deep learning model which can precisely predict the species of flowers based on their images.

computer-vision convolutional-neural-networks deep-learning image-classification image-preprocessing multiclass-image-classification opencv

Last synced: 29 Apr 2026

https://github.com/sayamalt/my-portfolio-website

This is my portfolio website.

Last synced: 20 Jul 2025

https://github.com/sayamalt/amazon-products-api-etl-and-ml-pipeline

In this project, I've created an end-to-end ETL pipeline and subsequently developed a machine learning model to predict the price of Amazon products based on several product-related features.

apache-spark azure-data-factory azure-data-lake-storage-gen2 azure-databricks data-ingestion delta-lake etl-pipeline extract-transform-load feature-engineering linear-regression machine-learning model-training-and-evaluation regression-models spark-mllib spark-sql

Last synced: 20 May 2026

https://github.com/sayamalt/news-category-classification

Successfully developed a news category classification model using fine-tuned BERT which can accurately classify any news text into its respective category i.e. Politics, Business, Technology and Entertainment.

bert-embeddings exploratory-data-analysis feature-engineering fine-tuning-bert model-evaluation nlp text-classification text-cleaning text-preprocessing text-tokenization

Last synced: 15 Jun 2025

https://github.com/sayamalt/content-engine

Successfully designed and developed a system which analyzes and compares multiple PDF documents, specifically identifying and highlighting their differences.

chromadb content-engineering langchain-python llm rag

Last synced: 18 May 2026

https://github.com/sayamalt/world-university-rating-prediction

Successfully established a machine learning model for predicting the global rating of a specific university based on a set of distinct features.

exploratory-data-analysis feature-engineering machine-learning model-deployment regression

Last synced: 18 May 2026

https://github.com/sayamalt/lead-scoring-predictive-analytics

Successfully developed a machine learning model to detect the most promising leads with the highest conversion chance i.e. the leads that are the most likely to convert into paying customers.

Last synced: 24 Jul 2025

https://github.com/sayamalt/us-domestic-airlines-performance-analysis

Developed a web-based dashboard application using Plotly and Dash. Analyzed delay timings of flights by creating a few charts and graphs. Leveraged the utility of Dash callbacks in order to enable user interactivity feature within the dashboard.

Last synced: 09 Nov 2025

https://github.com/sayamalt/parkinson-s-disease-detection

Successfully developed a machine learning model which can predict whether a particular individual is susceptible to Parkinson's disease or not, based on a set of features.

binary-classification machine-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/fraudulent-transactions-prediction

Successfully trained a machine learning model which can predict whether a given transaction is fraud or not.

data-visualization exploratory-data-analysis imblearn machine-learning model-based-testing model-building predictive-analytics sklearn

Last synced: 29 Apr 2026

https://github.com/sayamalt/car-price-prediction

Successfully developed a Linear Regression Model which can be used to predict the price of cars based on a set of independent variables.

Last synced: 09 Nov 2025

https://github.com/sayamalt/abstractive-text-summarization-of-news-articles

Successfully developed an encoder-decoder based sequence to sequence (Seq2Seq) model which can summarize the entire text of an Indian news summary into a short paragraph with limited number of words.

attention-is-all-you-need attention-mechanism lstm-neural-networks natural-language-processing sequence-to-sequence-models text-generation text-preprocessing

Last synced: 09 Nov 2025

https://github.com/sayamalt/online-retail-customer-segmentation

Successfully developed a clustering model to deduce two distinct customer segments amongst the entire population of customers based on their distinct demographic details and behavioral characteristics.

clustering dbscan-clustering exploratory-data-analysis feature-engineering hyperparameter-tuning kmeans-clustering unsupervised-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/black-friday-sales-prediction

Successfully established a machine learning regression model which can estimate the gross Black Friday sales for a particular customer, based on a distinct set of related and meaningful features, to a fair level of accuracy.

artificial-neural-networks data-visualization deep-learning exploratory-data-analysis feature-engineering machine-learning model-deployment model-training-and-evaluation regression-analysis regression-modelling regression-testing supervised-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/databases-sql-using-python

Working with databases through DB API using Python. Mainly, I worked with a database instance created at IBM DB2 cloud, created and loaded several datasets within it and issued SQL queries for accessing and manipulating data of each provided dataset.

Last synced: 09 Nov 2025

https://github.com/sayamalt/english-premier-league-data-analysis

Complete Analysis of English Premier League data of 20 years.

Last synced: 26 Jun 2025

https://github.com/sayamalt/face-mask-detection

Successfully trained a deep learning model using CNN which can predict to a great level of accuracy whether a given person is wearing a mask or not.

computer-vision convolutional-neural-networks face-mask-detection keras opencv tensorflow

Last synced: 15 Apr 2026

https://github.com/sayamalt/facial-expression-recognition

Successfully established a deep learning model which can accurately predict the emotion of a human being based on his/her face.

computer-vision convolutional-neural-networks facial-expression-recognition opencv

Last synced: 28 Apr 2026

https://github.com/sayamalt/natural-language-processing

This repository covers most of the NLP concepts and techniques taught in Jose Portilla's NLP course available in Udemy.

Last synced: 09 Nov 2025

https://github.com/sayamalt/wine-quality-prediction

Successfully established a supervised machine learning model which can predict the quality of a wine to a high level of accuracy based on a certain set of features associated with the chemical properties and characteristics of that specific wine.

exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-training-and-evaluation multiclass-classification supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/weather-prediction-using-machine-learning

Successfully developed a machine learning model which can accurately classify the weather based on various features pertaining to weather-related data and atmospheric conditions.

artificial-neural-networks cross-validation deep-learning exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-training-and-evaluation supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/quora-duplicate-question-pairs-identification

Successfully developed a machine learning model which can accurately detect whether any given pair of Quora questions are duplicate or not.

data-visualization machine-learning natural-language-processing nltk paraphrase-detection text-preprocessing

Last synced: 09 Nov 2025

https://github.com/sayamalt/e-commerce-text-classification

Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.

categorical-encoding cross-validation exploratory-data-analysis hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation text-classification text-preprocessing text-vectorization

Last synced: 09 Nov 2025

https://github.com/sayamalt/loan-default-prediction

Successfully implemented various supervised and unsupervised machine learning algorithms on a dataset of loan borrowers in order to predict the future status of loan i.e. whether it is defaulted or not.

Last synced: 09 Nov 2025

https://github.com/sayamalt/quotes-extraction-using-selenium

Developed a Python script using Selenium to automate the process of logging into a website and scraping specific data

data-extraction data-formatting data-security error-handling login-automation python selenium selenium-webdriver web-scraping

Last synced: 15 May 2026

https://github.com/sayamalt/applied-data-science-capstone-project

This repository contains all the Python files, dashboards and reports associated with the IBM Data Science Capstone project.

Last synced: 09 Nov 2025

https://github.com/sayamalt/bizanalytics-ml-assessment-solution

Successfully developed a machine learning model which can classify whether an email is spam or ham.

machine-learning nlp

Last synced: 09 Nov 2025

https://github.com/sayamalt/fake-news-classification-using-fine-tuned-bert

Successfully developed a text classification model to predict whether a given news text is fake or not by fine-tuning a pretrained BERT transformed model imported from Hugging Face.

bert-embeddings bert-model data-analysis data-visualization deep-learning fine-tuning-bert model-evaluation model-training-and-evaluation text-classification text-preprocessing text-tokenization tokenizer-nlp wordcloud-visualization

Last synced: 05 Apr 2025

https://github.com/sayamalt/langchain-with-python-bootcamp

This repository covers all the code materials covered within Jose Portilla's Langchain with Python Bootcamp on Udemy.

generative-ai langchain

Last synced: 20 Apr 2026

https://github.com/sayamalt/brain-tumor-image-classification

Successfully developed an image classification model to classify images of distinct types of brain tumors such as glioma tumor, meningioma tumor, pituitary tumor, etc.

alexnet convolutional-neural-networks data-loader deep-learning densenet121 fine-tuning-cnns image-classification mobilenetv3-large model-training-and-evaluation pytorch resnet-50 vgg16

Last synced: 27 Apr 2026

https://github.com/sayamalt/travel-insurance-claim-prediction

Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.

binary-classification cross-validation data-cleaning-and-preprocessing exploratory-data-analysis feature-engineering hyperparameter-tuning model-training-and-evaluation supervised-machine-learning

Last synced: 28 Jun 2025

https://github.com/sayamalt/oral-disease-classification-using-cnn

Successfully developed an image classification model using PyTorch to classify two types of oral diseases, namely caries and gingivitis.

binary-classification convolutional-neural-networks data-loader deep-learning image-classification image-transformations model-inference model-training-and-evaluation pytorch

Last synced: 14 May 2026

https://github.com/sayamalt/airline-passenger-satisfaction-classification

Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.

azure-web-app-service ci-cd-pipeline classification docker-container dvc-pipeline experiment-tracking exploratory-data-analysis feature-engineering github-actions hyperparameter-tuning machine-learning mlflow mlflow-tracking mlops-workflow model-registry model-training-and-evaluation model-versioning optuna scikit-learn

Last synced: 16 Apr 2026

https://github.com/sayamalt/multi-domain-ai-chatbot-using-langchain

Successfully developed a Multi-Domain AI Personal Assistant using LangChain, OpenAI, and Streamlit. The application seamlessly integrates multiple specialized capabilities, including document-based question answering (QA), Python code execution, debugging, explanation and optimization, web search, latest news retrieval, and currency conversion.

ai-agents anthropic-claude chatbot conversational-ai document-loader document-qa error-handling faiss-cpu generative-ai langchain llm-chain openai output-parsers prompt-engineering rag-chatbot retrieval-augmented-generation retrievers runnables tools vector-database

Last synced: 30 Aug 2025

https://github.com/sayamalt/titanic-survival-prediction

Successfully developed a Logistic Regression model for predicting the survival of a passenger aboard the Titanic ship based on his/her various features such as gender, age, passenger class, no. of siblings, embarkation location, etc.

data-cleaning data-preprocessing data-visualization exploratory-data-analysis logistic-regression machine-learning sklearn

Last synced: 18 May 2026

https://github.com/sayamalt/fruits-and-vegetables-image-recognition

Successfully established a deep learning model which can accurately detect and recognize the images of a wide variety of fruits and vegetables.

computer-vision convolutional-neural-networks image-processing multiclass-image-classification opencv

Last synced: 18 May 2026

https://github.com/sayamalt/squad-question-answering-using-bert

Successfully leveraged a pretrained BERT Transformer model for developing a question answering system.

bert bert-embeddings nlp question-answering-system text-generation

Last synced: 15 Jun 2025

https://github.com/sayamalt/computer-vision

This repository covers all the concepts taught in renowned Udemy instructor Josa Portilla's course on Computer Vision.

computer-vision computer-vision-algorithms image-processing opencv

Last synced: 29 Apr 2026

https://github.com/sayamalt/smart-job-description-analyzer-using-langchain

Successfully developed an LLM application that intelligently analyzes job descriptions and compares them against uploaded resumes to provide actionable insights.

faiss-vector-database generative-ai langchain large-language-models llm-chain openai-chatcompletion prompt-engineering retrieval-augmented-generation retrieval-qa streamlit-webapp text-generation vector-database

Last synced: 29 Apr 2026

https://github.com/sayamalt/langchain-for-information-retrieval-rag

This repository contains source code which encompasses usage of the Langchain framework to extract information from distinct types of documents and subsequently perform Retrieval Augmented Generation(RAG) on these documents as well.

chatbot chromadb content-engine data-extraction embeddings information-retrieval langchain openai-api retrieval-augmented-generation vector-database vector-database-embedding

Last synced: 29 Apr 2026

https://github.com/sayamalt/crop-yield-prediction

Successfully created a regression model for performing predictions on the net area yield of any particular crop.

machine-learning regression-analysis

Last synced: 23 Jun 2025

https://github.com/sayamalt/car-license-plate-detection

Successfully established a deep learning model which can detect the license number plates of cars.

computer-vision convolutional-neural-networks image-recognition license-plate-detection

Last synced: 09 Nov 2025

https://github.com/sayamalt/taxi-trip-fare-prediction

Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.

cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-selection model-training-and-evaluation regression-modelling

Last synced: 09 Nov 2025

https://github.com/sayamalt/life-expectancy-prediction

Successfully established a machine learning model which can accurately predict the expected life duration of a human being based on several demographic features such as alcohol consumption per capita, average BMI of entire population, etc.

cross-validation data-cleaning-and-preprocessing data-visualization docker end-to-end-pipeline exploratory-data-analysis feature-engineering github-actions-workflow hyperparameter-tuning machine-learning model-deployment model-training-and-evaluation

Last synced: 04 May 2026

https://github.com/sayamalt/credit-card-approval-prediction

Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-retraining model-selection model-testing model-training-and-evaluation

Last synced: 09 Nov 2025

https://github.com/sayamalt/employee-attrition-prediction

Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.

binary-classification continuous-deployment continuous-integration cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 08 Oct 2025

https://github.com/sayamalt/pneumonia-detection

Successfully developed a deep learning model which can accurately detect the presence of Pneumonia disease based on images of the lungs of a patient.

computer-vision convolutional-neural-networks deep-learning image-classification image-preprocessing supervised-deep-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/twitter-sentiment-analysis

Successfully established a machine learning model which can accurately classify the sentiment of any particular tweet into either positive, negative or neutral category.

data-visualization exploratory-data-analysis nlp sentiment-analysis supervised-learning text-processing

Last synced: 09 Nov 2025

https://github.com/sayamalt/ai-powered-interview-preparation-guide-using-langchain

Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.

anthropic-claude chatopenai deepgram-api generative-ai google-gemini-ai langchain llm-applications llm-router-chain multi-prompt-chain output-parsers prompt-engineering prompt-templates speecf speech-to-text-transcription streamlit-webapp text-generation

Last synced: 30 Apr 2026

https://github.com/sayamalt/house-price-prediction

Successfully created a regression model for predicting the price of any house, excluding enormous real estates and mansions, to a significant level of accuracy.

data-visualization exploratory-data-analysis feature-engineering feature-selection machine-learning regression-analysis regression-testing

Last synced: 09 Nov 2025

https://github.com/sayamalt/detection-of-disaster-from-tweets

Successfully established a machine learning model for detecting whether a given tweet is about a real disaster or not.

data-cleaning eda feature-engineering feature-extraction machine-learning natural-language-processing sklearn text-preprocessing

Last synced: 30 Apr 2026

https://github.com/sayamalt/personalized-health-and-fitness-coach-using-langchain

Successfully developed an LLM application that provides AI-powered, structured insights based on user queries. The app features a dynamic response generator with progress indicators, interactive upvote/downvote options, and a clean, engaging user interface built using Streamlit. Ideal for personalized meal, fitness, and health-related advice.

chatopenai generative-ai langchain llm-application llm-chain llm-router llm-router-chain multi-prompt-chain openai-api output-parsers prompt-engineering streamlit-webapp

Last synced: 18 Apr 2026

https://github.com/sayamalt/customer-churn-prediction

Successfully established a machine learning model which can predict whether any given customer currently utilizing the products and services offered by a company will churn at anytime in the future or not, depending upon a set of unique features/characteristics pertaining to that specific individual, to a great level of accuracy.

classification data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation model-optimization model-training supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/sayamalt/steel-energy-consumption-prediction-using-pyspark

Successfully established a machine learning model using PySpark which can precisely predict the energy consumption of the steel industry, up to an r2 score of approximately 99.5%.

apache-spark big-data-analytics big-data-processing cross-validation data-visualization exploratory-data-analysis hyperparameter-tuning machine-learning model-training-and-evaluation python regression spark sql

Last synced: 10 Mar 2026

https://github.com/sayamalt/natural-scenes-image-classification-using-cnns

Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with an accuracy of 86%.

convolutional-neural-networks deep-learning fine-tuning-cnns flask-deployment image-classification image-transformations model-inference model-training-and-evaluation multiclass-classification pytorch resnet50-model torch-dataloader

Last synced: 25 Apr 2026

https://github.com/sayamalt/ai-powered-research-assistant-using-langchain

Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

chatopenai document-loader faiss-vector-database langchain large-language-models llm-applications openai-embeddings parallel-chain prompt-template rag-implementation retrieval-augmented-generation text-splitter vectorstores

Last synced: 02 May 2026

https://github.com/sayamalt/english-to-german-translation-using-seq2seq

Successfully established a neural machine translation model using sequence to sequence modeling which can successfully translate English sentences to their corresponding German translations.

natural-language-processing neural-language-translation sequence-to-sequence-models text-generation-using-lstm text-preprocessing

Last synced: 02 Jul 2025

https://github.com/sayamalt/wine-cultivator-classification-using-ann

Successfully established an ANN model which can classify wine cultivators based on several characteristics of distinct wines.

artificial-neural-networks classification deep-learning model-inference model-training-and-evaluation multiclass-classification pytorch

Last synced: 15 May 2026

https://github.com/sayamalt/mental-health-classification-using-fine-tuned-distilbert

Successfully established a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify several distinct types of mental health statuses such as anxiety, stress, personality disorder, etc. with an accuracy of 77%.

data-visualization deep-learning distilbert-fine-tuning distilbert-model model-evaluation model-inference model-training-and-evaluation multiclass-text-classification natural-language-processing text-classification text-preprocessing text-tokenization

Last synced: 08 Oct 2025

https://github.com/sayamalt/luxury-apparel-product-category-classification-using-fine-tuned-distilbert

Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.

deep-learning distilbert-fine-tuning distilbert-model exploratory-data-analysis fine-tuning-bert model-inference model-training-and-evaluation multiclass-classification natural-language-processing text-classification text-preprocessing text-tokenization

Last synced: 08 Oct 2025

https://github.com/sayamalt/customer-support-chatbot-using-langchain

Successfully designed and developed a customer support chatbot that leverages LangChain and Pinecone for efficient retrieval-augmented generation (RAG), enabling intelligent and context-aware responses to user queries.

character-text-splitter chatbots chatopenai conversation-buffer-memory conversational-ai conversational-bots conversational-retrieval-chain langchain llm-chain openai-embeddings output-parsers pinecone-client pineconedb prompt-engineering retrieval-augmented-generation streamlit-webapp vector-database

Last synced: 11 Oct 2025

https://github.com/sayamalt/text-similarity-quantifier

Successfully developed a machine learning model for computing the similarity score between two text paragraphs taken as input from a webpage.

bag-of-words cosine-similarity cosine-similarity-scores countvectorizer flask machine-learning nlp pandas python text-preprocessing tfidf

Last synced: 14 Apr 2026

https://github.com/sayamalt/flight-price-prediction

Successfully established a machine learning model to accurately predict the price of a flight in India based on several features such as duration, days left, arrival time, departure time and so on.

data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning machine-learning model-deployment model-training-and-evaluation regression-models

Last synced: 09 Nov 2025

https://github.com/sayamalt/global-news-headlines-text-summarization

Successfully established a text summarization model using Seq2Seq modeling with Luong Attention, which can give a short and concise summary of the global news headlines.

attention-mechanism data-exploration-and-preprocessing luong-attention model-architecture-and-implementation model-inference natural-language-processing seq2seq-model text-generation text-summarization text-tokenization

Last synced: 09 Nov 2025