bettersg/SchemesSG_v3
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentBackend DevelopmentChatbot DevelopmentCloud ComputingCloud FunctionsCloud Storage
rebeccacxy
PROFILE
Rebeccacxy
Rebecca Chin developed a Firebase-backed chatbot for the bettersg/SchemesSG_v3 repository, focusing on persistent conversation history and contextual user support. She designed and implemented an API endpoint in Python that integrates with Firebase and Firestore, enabling the chatbot to store and retrieve chat histories along with relevant metadata. By migrating chat storage from an in-memory dictionary to Firestore, Rebecca improved the reliability and scalability of user interactions. Her work included adding last updated timestamps for auditability and refining the endpoint for testing. This approach leveraged her skills in backend development, cloud functions, and natural language processing to enhance user engagement.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
336
Activity Months1
Your Network
13 peopleShared Repositories
13
Work History
November 2024
4 Commits • 1 Features
Nov 1, 20242024-11 Monthly Summary for bettersg/SchemesSG_v3: Delivered a Firebase-backed Chatbot with persistent conversation history and metadata. Implemented an endpoint integrated with Firebase to handle user queries about schemes, including language model initialization and Firestore-based persistence. The chatbot retrieves scheme data from Firestore to provide contextual responses. Major improvements include migrating chat history storage from a local in-memory dict to Firestore, adding last updated timestamps for chats, and refining the endpoint for testing. This work enhances reliability, scalability, and auditability of user interactions, enabling contextual support and better user engagement.
4 Commits • 1 Features
Nov 1, 20242024-11 Monthly Summary for bettersg/SchemesSG_v3: Delivered a Firebase-backed Chatbot with persistent conversation history and metadata. Implemented an endpoint integrated with Firebase to handle user queries about schemes, including language model initialization and Firestore-based persistence. The chatbot retrieves scheme data from Firestore to provide contextual responses. Major improvements include migrating chat history storage from a local in-memory dict to Firestore, adding last updated timestamps for chats, and refining the endpoint for testing. This work enhances reliability, scalability, and auditability of user interactions, enabling contextual support and better user engagement.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture87.6%
Performance87.6%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentBackend DevelopmentChatbot DevelopmentCloud ComputingCloud FunctionsCloud StorageDatabase ManagementFirebaseLangChainNatural Language ProcessingPython
Repositories Contributed To
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