Projects
Title: ESG Management Platform
Technologies: Djnago, Python, PostgreSQL, ML
My Role: Managing the project end-to-end Agile project execution life cycle. Gather the functional requirements from the client and analyze the required functional specification, and convert it into a technical specification. Do the sprint meeting and define the sprint task.
Specification The ESG Management Platform is an innovative solution designed to help organizations seamlessly integrate sustainability initiatives with financial performance. It serves as a comprehensive tool for businesses looking to enhance their Environmental, Social, and Governance (ESG) strategies while maintaining financial stability and regulatory compliance.
This platform bridges the gap between sustainability efforts and financial decision-making by providing real-time data tracking, analytics, and reporting. It enables organizations to monitor carbon footprints, energy consumption, waste management, and social impact while aligning these efforts with their financial objectives. Through advanced data integration and automation, businesses can make informed decisions, optimize resource allocation, and meet both corporate social responsibility (CSR) goals and financial targets.
Title: Cleaning Survey Management System
Technologies: Laravel, Vue.js, CakePHP, MysQL, React native
My Role: Project manager, Client communication, Team collaboration, Jira board management
Specification: The project involves developing a streamlined inspection and reporting system to enhance the efficiency of various organizational departments. The goal is to replace the traditional manual survey management process, which relies on physical forms, with an automated and structured system. This new system will allow departments to seamlessly record,
approve, report, and audit daily inspections related to physical cleaning services. By digitizing the process, organizations can eliminate paperwork, reduce errors, and improve response times, leading to greater operational efficiency.
Additionally, this solution will enhance transparency and collaboration between IT and business teams by providing a centralized platform for real-time data collection, reporting, and compliance tracking. It will ensure that all survey records are systematically stored,
making it easier to monitor performance, enforce quality standards, and conduct audits. With an intuitive interface and automated workflows, the system will drive accountability, optimize resource management, and support data-driven decision-making for continuous service improvements.
Title: Document Management System
Technologies: Laravel, Bootstrap, MysQL, React native
My Role: Project Manager, Client communication
Specification: This project focuses on developing an online document management system that enables users to access and learn new courses seamlessly. The system is designed to offer a personalized learning experience, ensuring that users can easily access the content most relevant to their needs.
A key feature of this platform is its ability to deliver customized courses based on user requests. Instead of following a one-size-fits-all approach, the system analyzes individual preferences and learning goals to recommend or create tailored courses. This customization
allows users to focus on specific topics of interest, ensuring a more efficient and engaging learning experience. By integrating automation and user-driven course selection, the platform enhances accessibility, flexibility, and overall learning outcomes.
Title: AI-Based Stock Sentiment Analysis wi th Greed and Fear
Technologies: Django, Python, MySQL, Machine Learning, yahoo finance API, Reddit API
My Role: Project Manager, Client communication, Team collaboration, Task analysis
Specification: This project focuses on developing an AI-driven stock sentiment analysis system that helps investors understand market trends by evaluating investor emotions. The system leverages Natural Language Processing (NLP) to analyze financial news, social media discussions, and
real-time market data, identifying key sentiment indicators categorized as “Greed” and “Fear.” By assessing public sentiment and market reactions, the system provides insights into investor behavior, helping traders and analysts make more informed decisions.
A core feature of this solution is its real-time sentiment scoring and visual analytics dashboard, which offers a comprehensive view of market sentiment fluctuations. By continuously monitoring data sources, the system detects emerging trends and potential shifts in the market, allowing users to predict stock movements with greater accuracy. This
AI-powered approach enhances risk assessment, investment strategies, and decisionmaking, making it a valuable tool for traders, financial analysts, and investors looking to navigate the complexities of the stock market.
Title: SaaS-Based AI Chatbot
Technologies: React.js, Laravel, Python Flask, MySQL, Machine Learning, NLP, GPT
My Role: Project Manager, Client communication, Team handling, Task analysis
Specification: This project involved the development of a SaaS-based AI chatbot application designed to provide intelligent, context-aware responses based on a custom knowledge base. The chatbot enabled businesses to upload, manage, and utilize proprietary data, ensuring highly personalized and automated query handling. By leveraging Natural Language Processing (NLP), the system effectively understood user intent, allowing it to deliver precise and relevant responses. This solution aimed to enhance customer engagement, streamline support processes, and reduce response time, making interactions more efficient and human-like.
A key feature of the chatbot was its multi-channel deployment, allowing seamless integration across web, mobile, and messaging platforms for a unified user experience. The system also included real-time analytics, enabling businesses to track user interactions, improve chatbot responses, and optimize customer service strategies. Additionally, it supported API integrations, ensuring smooth connectivity with existing enterprise systems such as CRM and helpdesk tools. By automating responses and improving accuracy, this AIpowered chatbot helped businesses scale their customer support operations effectively while maintaining high-quality user interactions.
Title: AI Model for Anthropomorphic Pet Image Generation
Technologies: Python Flask, Computer vision, Deep Learning, NLP, GPT
My Role: Project Manager, Client communication, Team collaboration, Task analysis, Research of suitabel AI model
Specification: This project involved the development of an AI-powered image generation model designed to create anthropomorphic representations of pets, transforming them into human-like characters while preserving their unique features. By leveraging Generative Adversarial Networks (GANs) and deep learning techniques, the model was trained to blend pet characteristics with human traits, producing highly realistic and expressive visuals. The system utilized a custom dataset containing pet images and human attributes, ensuring precise adaptation of facial expressions, fur patterns, and other distinguishing features.
The AI model was implemented using Python Flask, Computer Vision, and NLP technologies, making it adaptable for various applications, including personalized artwork, animated storytelling, and digital avatar creation. The project integrated Natural Language Processing (NLP) and GPT models to enhance contextual understanding, allowing users to
describe desired traits and receive dynamically generated images based on textual inputs.
