Projects

Innovative AI and Full-Stack Development Work

7 Total Projects

Detailed showcase of my development and research work

AI Doctor Assistant

Featured

A comprehensive SaaS platform that revolutionizes medical consultations through AI-powered voice interactions, providing intelligent symptom analysis and automated report generation.

Key Features:

  • LLM-based symptom analysis for natural doctor-patient conversations
  • Real-time speech understanding with VAPI Voice Assistant + OpenRouter AI
  • Automatic medical report generation (symptoms, prescriptions, advice, summary)
  • Clerk authentication for secure access
  • NEON PostgreSQL + Drizzle ORM for robust data operations
  • SaaS-ready architecture: dashboards, doctor listings, pricing, health tips
  • Deployed on Vercel for global accessibility

Technologies:

Next.jsTypeScriptAI/LLMPostgreSQLVoice AIVAPIClerk AuthDrizzle ORMSaaS

TimeClipAI: Real-Time Action Classification

Featured

Advanced deep learning framework for real-time video analysis, achieving state-of-the-art performance in temporal action localization across multiple benchmark datasets.

Key Features:

  • Real-time action classification and time segmentation in videos
  • Support for EGTEA, EPIC-Kitchen 100, THUMOS'14, CricShot10 datasets
  • Pre-trained I3D features for efficient training/testing
  • Offset Scoring Network (OSN) for refined action boundary predictions
  • State-of-the-art performance with robust generalization
  • Optimized for both accuracy and inference speed

Technologies:

PyTorchPythonComputer VisionTransformersVideo AnalysisDeep LearningI3D Features

DeshiPlate AI: Bangladeshi Food Recognition

Featured

An intelligent food recognition platform leveraging deep learning to identify 33 traditional Bangladeshi dishes, providing instant nutritional insights and personalized health recommendations.

Key Features:

  • AI-powered recognition of 33 traditional Bangladeshi dishes
  • Custom-curated dataset of Bangladeshi cuisine for model training
  • NextViT deep learning architecture achieving 89.76% accuracy
  • Real-time inference engine for instant food classification from images
  • Personalized nutrition recommendations based on classified dishes
  • Health suggestions tailored to identified food items
  • NEON PostgreSQL + Drizzle ORM for scalable data operations
  • Modern, responsive UI deployed on Vercel

Technologies:

Next.jsTypeScriptNextViTPyTorchDeep LearningPostgreSQLDrizzle ORMOpenRouter AIComputer Vision

Educational Chatbot using RAG

Featured

An innovative educational tool leveraging Small Language Models and RAG architecture to provide accessible learning support for underserved communities, with offline capability.

Key Features:

  • Lightweight SLM architecture for device-efficient operation
  • Web-based interface for easy accessibility
  • 75% accuracy on 4,000-question dataset validated with RAGChecker
  • Offline capability for areas with limited internet connectivity
  • Supports underserved communities in learning
  • Retrieval-Augmented Generation for accurate responses

Technologies:

PythonRAGSLMLangChainOllamaFlaskNLP

Road Accident Analysis System

Comprehensive machine learning pipeline for emergency response optimization, comparing multiple algorithms to achieve high accuracy in critical medical predictions.

Key Features:

  • Predictive models for patient status and injury type classification
  • Comparative analysis: Logistic Regression, Decision Tree, SVM, XGBoost, Random Forest
  • Achieved 99.1% accuracy for patient status prediction
  • 89% accuracy for injury type classification
  • Data preprocessing and feature engineering pipeline
  • Insights for improving emergency response strategies

Technologies:

PythonScikit-learnXGBoostPandasNumPyMLData Analysis

Agile-Driven Movie Reservation Website

Professional web application demonstrating modern development practices, built by a 5-member team following Agile principles with comprehensive testing and documentation.

Key Features:

  • Complete movie browsing and reservation system
  • Frontend/backend architecture with MVC pattern
  • RESTful API design for seamless communication
  • Comprehensive code documentation using JSDoc
  • Unit and integration testing with Jest
  • Agile Scrum methodology with sprint planning and retrospectives
  • Team collaboration using Git and Trello

Technologies:

MongoDBExpress.jsReact.jsNode.jsMVCJestJSDocAgile

Viper Travel Booking Website

Complete travel management system with robust database operations, providing users with seamless booking experiences and travel planning capabilities.

Key Features:

  • Comprehensive travel booking functionality
  • SQL-based CRUD operations for data management
  • User authentication and session management
  • Search and filter capabilities for destinations
  • Booking history and management features
  • Responsive design for mobile and desktop

Technologies:

PHPMySQLJavaScriptHTML/CSSSQLCRUD API