From Code to Impact:
My Journey in Software Development

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Mealz Now

Developed in 2 weeks

Additional Details: Features meal planning, nutritional information, and order customization.

Use Case: Meal planning and nutritional information.

Target Audience: Restaurant patrons and management

Features

Real-time data handling

User customization options

Technologies Used

React

React Native

.Net

CosmosDB

Azure

Learn more →
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Bytez Now

Developed in 2 weeks

Additional Details: Integrated with backend services for real-time order processing.

Use Case: Simplifies food ordering process.

Target Audience: Restaurant patrons and management

Features

Order management dashboard

Real-time notifications

Technologies Used

React

React Native

.Net

CosmosDB

Azure

Learn more →
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Admin Portal

Concurrent with app development

Additional Details: Central hub for managing both Bytez Now and Mealz Now apps.

Use Case: Centralized management of food service applications.

Target Audience: Restaurant management

Features

User management

Analytics

Technologies Used

React

.Net

SignalR

Azure

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LLamma App

Ongoing

Additional Details: Features streaming data, persistent storage, and interactive chat capabilities.

Use Case: Document indexing and retrieval in web applications.

Target Audience: Web developers and enterprises

Features

Document indexing

Real-time data streaming

Technologies Used

JavaScript

TypeScript

Node.js

Learn more →
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NLP

Completed

Additional Details: Focuses on TF-IDF vectorization, Naive Bayes, and neural network architectures.

Use Case: Disaster text classification using machine learning.

Target Audience: Data scientists and NLP specialists

Features

Advanced NLP techniques

Disaster text classification

Technologies Used

TensorFlow

Scikit-learn

Jupyter Notebook

Learn more →
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CNN & CV

Completed

Additional Details: Includes multiple CNN models and performance tracking with TensorBoard.

Use Case: Image classification using convolutional neural networks.

Target Audience: AI researchers and hobbyists

Features

Data preprocessing

Multiple CNN model implementations

Technologies Used

TensorFlow

Jupyter

Notebook

Learn more →
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House Predictor

Completed

Additional Details: Covers data preprocessing, training, and evaluation processes.

Use Case: House price prediction using machine learning.

Target Audience: Real estate analysts and data scientists

Features

Data preprocessing

Model training and evaluation

Technologies Used

TensorFlow

Jupyter Notebook

Learn more →
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EfficientNet

Completed

Additional Details: Leverages EfficientNetB0 for feature extraction combined with advanced classification techniques.

Use Case: Culinary image recognition using EfficientNetB0.

Target Audience: Culinary experts and AI enthusiasts

Features

EfficientNetB0 feature extraction

Advanced classification techniques

Technologies Used

TensorFlow

Keras

Jupyter Notebook

Learn more →
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More Projects

  • Teaching and MentorshipOngoing engagement
    This ongoing engagement project focuses on training junior colleagues in essential web development practices. By imparting knowledge on Git, GitHub, and database management systems, the project aims to enhance practical application skills and full lifecycle software development understanding among junior developers.

    Features

    Practical application training

    Full lifecycle understanding

    Technologies Used

    Git

    GitHub

    Database Management Systems

  • Web Development ProjectsVarious
    This project series enhances digital presence and outreach capabilities for various entities, including Strays Home Rehabilitation Shelter and the German Institute of Language. Utilizing full-stack web technologies, these projects cater to a wide audience comprising the public, donors, educators, and students.

    Features

    Digital presence enhancement

    Outreach capabilities

    Technologies Used

    Full-stack web technologies

  • Achievements and LeadershipThroughout educational and professional career
    This project highlights the national-level recognitions and leadership roles undertaken throughout educational and professional careers. By utilizing video editing and graphic design tools, it showcases significant achievements and leadership capabilities.

    Features

    Leadership demonstration

    Technical skills showcase

    Technologies Used

    Video editing

    Graphic design tools

  • Social Impact Initiatives through Six BricksMultiple years
    Engaging in multiple years of community projects, this initiative focuses on providing educational and nutritional support in underprivileged areas. Utilizing project management and community engagement tools, it achieves sustainable impact and essential resource provision.

    Features

    Sustainable impact

    Community involvement

    Technologies Used

    Project management

    Community engagement tools

  • Correlation of Workplace Surveillance with Psychological Health, Productivity, and Privacy of EmployeesAcademic research period
    This academic research project explores the impacts of workplace surveillance on psychological health, productivity, and privacy. Employing survey tools and data analysis software, it provides valuable insights for academics, industry professionals, and policymakers.

    Features

    Primary & secondary research

    Regression analysis

    Technologies Used

    Survey tools

    Learn more →
  • Dost-e-KhalqVarious campaigns
    Dost-e-Khalq organizes various campaigns including food drives and educational workshops aimed at social impact and aid distribution in underprivileged communities. Using project management tools and community outreach platforms, it fosters significant societal contributions and volunteer engagement.

    Features

    Social impact initiatives

    Aid distribution

    Technologies Used

    Project management tools

    Full-stack web technologies

  • Financial BotContinuous development
    The Financial AI Bot is a revolutionary tool in automated financial document analysis. Utilizing AI technologies, the bot enhances data processing accuracy and aids financial analysts and institutions in making informed decisions by providing precise and quick analyses of financial documents.

    Features

    Data accuracy

    Decision-making enhancement

    Technologies Used

    LangChain

    unstructured.io

    ChromaDB

    Pinecone

    Python

    Learn more →
  • LLM RAGOngoing
    LLMRAGApp utilizes advanced language models and retrieval-augmented generation to enhance answer accuracy for complex queries. It provides precise, contextually relevant responses, ideal for researchers and enterprises needing dependable AI insights. Developed in Jupyter Notebook, it offers flexible customization.

    Features

    Advanced AI integration

    Contextual response generation

    Technologies Used

    Jupyter Notebook

    LLMs

    RAG techniques

    Learn more →
  • ResNetCompleted
    This repository delves into the comparative analysis of ResNet and EfficientNet models for food image classification. Through detailed implementations, evaluations, and visualizations, this project identifies the optimal architectural choices for specific image classification tasks.

    Features

    Model performance comparison

    Detailed evaluations

    Technologies Used

    TensorFlow

    Jupyter Notebook

    Learn more →
  • RAGOngoing
    AdvanceRAG enhances document retrieval by integrating the Llama_Index library for automated merging and indexing. Combined with TruLens for performance evaluation, this project significantly improves information accessibility and retrieval efficiency in large datasets.

    Features

    Automated merging and indexing

    Performance evaluation with TruLens

    Technologies Used

    Llama_Index

    TruLens

    Jupyter Notebook

    Learn more →
  • Document BotOngoing
    The LangChainDocumentChatBot leverages advanced capabilities of LangChain to create a conversational agent capable of dynamic document-based question answering. This enhances user interaction and engagement by providing contextually accurate and relevant information in a conversational format.

    Features

    Advanced document parsing

    Dynamic Q&A

    Technologies Used

    LangChain

    Jupyter Notebook

    Learn more →
  • Agent ToolsOngoing
    LangChainAgentTools is a sophisticated toolkit that combines the functionalities of LangChain with conversational AI. This innovative solution enables the creation of versatile chatbots that can perform a variety of tasks through natural language processing and advanced AI techniques.

    Features

    Versatile chatbot creation

    Integration with LangChain

    Technologies Used

    LangChain

    Jupyter Notebook

    Learn more →