Jisan GSoC 2024

[DonnieBLT]

Sure! Here's the converted GitHub checklist for each project:

Project 1: AI Chatbot for Whole Website

Planning and Analysis

• Define goals and expected functionality for the chatbot. #2124
• Choose a suitable AI chatbot platform for implementation. #2125
• Gather project-specific information for training the model. #2126

Design and Development

• Outline user flow for the chatbot to greet users and guide them through the website. #2127
• Develop and train the chatbot model with project-specific information. #2128
• Implement APIs to connect the chatbot to relevant project data. #2129

Testing and Evaluation

• Conduct unit tests to ensure chatbot functionality. #2130
• Evaluate performance through user acceptance testing (UAT). #2131
• Refine the chatbot's responses based on feedback. #2132

Project 2: AI for Report Bug Page

Planning and Analysis

• Define goals for the bug page AI, including bug description assistance and impact analysis #2133
• Choose an NLP model that fits the project's requirements #2134

Design and Development

• Design the user flow for AI-assisted bug reporting #2135
• Train the NLP model with historical bug data to understand context and common issues #2136
• Implement integration between the NLP model and the bug reporting page #2137

Testing and Refinement

• Test the AI assistant with different bug reports to assess effectiveness #2138
• Collect user feedback to refine the model's understanding and suggestions #2139

Project 3: realtime texting system for company manager to bounty hunter

Planning and Analysis

• Plaining the model,based on real-time texting performance  #2140
• Research about finding the best way to pay the prize #2141

Development

• build the UI design for texting  #2142
• Implement an API for using in mobile application #2143

Testing and Refinement

• Test the response time with various data pack #2144
• Testing the real-time texting performance  #2145

Project 4: fixing issue from issue section

fixed issue

• Refactor / rename companies to organizations (frontend) #2534

Project 5: Implement company dashboard in flutter application

Design and Development

• Define goals for the project and specify the library for using #2152
• make the UI design before start working #2153

Integration and Testing

• Implement the API in flutter #2154
• Implement the UI in dart #2155

Project 6: update Company dashboard

Development

• Fix the company part error #2380
• update some feature from company dashboard  #2381

Project 7: Slack Module for the BLT Project

Planning and Design

• Analyze existing issues with Slack integration in the BLT repository. #2166
• Plan new functionalities and responses to common queries. #2167

Development and Testing

• Integrate AI to automate responses and triage Slack-reported bugs. #2168
• Test the new functionalities and responses for accuracy. #2169

Project 8: Sizzle

• Integrate Existing Auth System in Flutter and Django Backend - Use the existing authentication system in the Flutter app and Django backend to authenticate users. Ensure seamless integration without the need for additional OAuth setups. #2547
• Fetch Assigned Issues via GitHub API - Implement functionality to retrieve all issues assigned to the authenticated user using GitHub’s API. Store the issue data in the BLT backend for centralized management. #2548
• Develop Automated Timer for Issue Tracking - Create a timer that automatically starts when a user begins working on an issue. Ensure the timer is linked to the specific GitHub issue and can pause/resume as needed, with data stored on the BLT backend. #2549
• Implement 30-Minute Activity Check-In Prompts - Develop a feature that prompts the user every 30 minutes to confirm they are still working. If the user doesn't respond, automatically pause the timer and update the status on the BLT backend. #2550
• Integrate GitHub Projects API for Issue Status Updates - Integrate with the GitHub Projects API to automatically detect when an issue's status changes to "In Progress" and trigger the timer in the Sizzle app. #2551
• Build and Test Flutter App for macOS, Windows, and Linux - Develop and test the Sizzle app on macOS, Windows, and Linux platforms using Flutter. Ensure consistent functionality and UI across all desktop platforms. #2552
• Build and Test Flutter App for iOS and Android - Develop and test the Sizzle app on iOS and Android platforms using Flutter. Ensure consistent functionality and UI across mobile devices. #2553
• Integrate Sizzle with BLT Core API - Connect the Sizzle app to the BLT backend core API for synchronizing time logs, user data, and issue management. Ensure secure communication between the app and the API. #2554
• Develop Web Interface for Time Log Management - Create a web interface on the BLT website to allow users to view, manage, and export their time logs. Integrate with the backend API for real-time data synchronization. #2555
• Design Minimalistic and Intuitive UI for Sizzle - Develop a clean and user-friendly interface for the Sizzle app, ensuring consistency across all platforms. Focus on ease of use with clear navigation and functionality. #2556
• Comprehensive Testing of Sizzle Across All Platforms - Conduct extensive testing across macOS, Windows, Linux, iOS, and Android platforms. Include unit tests, integration tests, and user acceptance testing to ensure a smooth and bug-free experience. #2557
• Collect User Feedback and Iterate on Features - After the initial launch, gather user feedback and identify areas for improvement. Iterate on the app’s features, design, and performance based on real-world use. #2558
• Create Comprehensive Documentation for Sizzle - Document the setup process, usage, and API integration for developers and end-users. Ensure clear instructions are available for contributing, setting up the environment, and using the app. #2559

Project Plan and Timeline

Phase 1: Planning and Analysis

• April-May: Define requirements, select tools, and engage stakeholders.

Phase 2: Design and Development

• June-July: Architecture design, UX design, data preparation, and AI model training.

Phase 3: Testing and Continuous Improvement

• August-September: Comprehensive testing, feedback collection, model retraining, and feature updates.

Phase 4: Final Evaluation

• September: Final evaluation, polishing, and documentation.