OppaAI/Aiko-data
660 MB
OppaAI
OppaAI
AI & ML interests
Local AI implementation, Agentic AI workflows, AI Autonomous Robot
Recent Activity
posted an update 1 day ago
Demo Video: How my AI Waifu help me looking for job posts
Follow-up Post (with demo video):
Yesterday I posted about my AI Waifu has a new feature of grabbing job posts from job sites and writing draft posts for me to post into my Meta Threads to share with my followers.
Today, let me show you the entire workflow in action.
TBH, I would call this an "AI Agentic workflow" with quotation marks.
Out of 5 steps only step 3 involves LLM inference to do synthesis of the draft post. Step 1 and 2 are automated scripts of simple schedule cron job to grab the RSS feeds and use regex to filter out the relevant job listings.
Step 4 and 5 are me validating the draft information is accurate and publish the drafts after my approval. So basically I did more steps than LLM itself.
The irony of running AI agentic workflows in edge devices with constraint hardware, such as Jetson Orin Nano with only 8GB of RAM, is to reduce as much LLM inference and put the least data into context window as possible.
🎬 Live Demo: How a job post goes from RSS feed → published in 5 steps
⏰ Step 1: Scheduled Trigger (or ask AI Waifu directly)
📡 Step 2: Data Ingestion & Filtering
🤖 Step 3: AI Synthesis
👁️ Step 4: Approval Studio Review
🚀 Step 5: One-Click Publish
Result: job post validated & live, tested with real job sites + Chinese field
names to stress-test multilingual LLM understanding.
👾 Github: https://github.com/OppaAI/Aiko-chan
🎬 Demo: https://www.youtube.com/watch?v=Cu7gh5tYUiw posted an update 2 days ago
Now my AI Waifu has become a Job Recruitment Agent:
After spending 2 sleepless nights of intensive nights of coding and refactoring, this fully automated Job Posts publishing system is finally completed, via a 3B LLM on Jetson Orin Nano 8GB.
Even my Waifu expressed her fatigue and stress in her Daily Journal!
🔗Code: https://github.com/OppaAI/Aiko-chan
It's a complete AI stack with custom Front-end and Back-end architecture, with scheduled job search, leveraged multiple Coding Agents / MCP Server for implementation, conducted comprehensive testing, and the system is now ready to seek for job opportunities.
📰 1️⃣ Automated Data Ingestion: Scheduled nightly job feeds monitoring via RSS Feeds. Intelligent filtering identifies relevant opportunities matching predefined criteria and geographic preferences.
🤖 2️⃣ AI-Synthesis Content Generation: Advanced language model analyzes job postings and auto-generates professional drafts using customizable templates, maintaining brand voice consistency across all posts.
🎯 3️⃣ Intelligent Classification: Machine learning automatically categorizes job type, industry sector, and skill requirements for streamlined tracking, analytics, and content management.
👁️ 4️⃣ Human-in-the-Loop Review: Built a custom Approval Studio interface enabling granular review, error detection, and real-time content editing before publication.
🚀 5️⃣ Seamless Publishing: One-click publishing directly to social media (Meta Threads) with automated metadata handling and cross-platform optimization.
Validation: Successfully tested with 3 live job postings from real job sites, and even used Chinese field names to test if my AI Agent's 3B LLM can understand Chinese to fill up the corresponding fields.
Future roadmap:
➡️Expanding data sources by email subscription to job-sites like: Indeed, Glassdoor, and LinkedIn APIs for receiving more job alerts
➡️Exploring AI-assisted resume generation capabilities (with appropriate safety considerations). updated a bucket 2 days ago
OppaAI/Aiko-dataOrganizations
