From Code to Impact:
My Journey in Software Development
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
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
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
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
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
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
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
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
More Projects
- Teaching and MentorshipOngoing engagementThis 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 ProjectsVariousThis 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 careerThis 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 yearsEngaging 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 periodThis 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
Learn more →Technologies Used
Survey tools
- Dost-e-KhalqVarious campaignsDost-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 developmentThe 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
Learn more →Technologies Used
LangChain
unstructured.io
ChromaDB
Pinecone
Python
- LLM RAGOngoingLLMRAGApp 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
Learn more →Technologies Used
Jupyter Notebook
LLMs
RAG techniques
- ResNetCompletedThis 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
Learn more →Technologies Used
TensorFlow
Jupyter Notebook
- RAGOngoingAdvanceRAG 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
Learn more →Technologies Used
Llama_Index
TruLens
Jupyter Notebook
- Document BotOngoingThe 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
Learn more →Technologies Used
LangChain
Jupyter Notebook
- Agent ToolsOngoingLangChainAgentTools 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
Learn more →Technologies Used
LangChain
Jupyter Notebook