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
Developed a Firebase-backed chatbot for the bettersg/SchemesSG_v3 repository, focusing on persistent conversation history and contextual user support. The solution involved migrating chat history storage from a local in-memory dictionary to Firestore, enabling reliable data persistence and improved auditability through last updated timestamps. Leveraging Python and Firebase, the chatbot endpoint was designed to handle user queries about schemes, with language model initialization and Firestore-based metadata management. The integration of Firestore allowed the chatbot to fetch scheme data dynamically, supporting contextual responses. Updates to the endpoint also enhanced reliability in testing environments, contributing to more robust backend and API development.
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
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