Clelia Astra Bertelli

as-cle-bert

https://www.cleliasportfolio.xyz

AI & ML interests

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posted an update 1 day ago

Finding a job that matches with our resume shouldn't be difficult, especially now that we have AI... And still, we're drowning in unclear announcements, jobs whose skill requirements might not really fit us, and tons of material😵‍💫 That's why I decided to build 𝐑𝐞𝐬𝐮𝐦𝐞 𝐌𝐚𝐭𝐜𝐡𝐞𝐫 (https://github.com/AstraBert/resume-matcher), a fully open-source application that scans your resume and searches the web for jobs that match with it!🎉 The workflow is very simple: 🦙 A LlamaExtract agent parses the resume and extracts valuable data that represent your profile 🗄️The structured data are passed on to a Job Matching Agent (built with LlamaIndex😉) that uses them to build a web search query based on your resume 🌐 The web search is handled by Linkup, which finds the top matches and returns them to the Agent 🔎 The agent evaluates the match between your profile and the jobs, and then returns a final answer to you So, are you ready to find a job suitable for you?💼 You can spin up the application completely locally and with Docker, starting from the GitHub repo ➡️ https://github.com/AstraBert/resume-matcher Feel free to leave your feedback and let me know in the comments if you want an online version of Resume Matcher as well!✨

updated a Space 4 days ago

as-cle-bert/pdfitdown

replied to their post 11 days ago

Llama-4 is out and I couldn't resist but to cook something with it... So I came up with 𝐋𝐥𝐚𝐦𝐚𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 (https://llamaresearcher.com), your deep-research AI companion!🔎 The workflow behind 𝗟𝗹𝗮𝗺𝗮𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿 is simple: 💬 You submit a query 🛡️ Your query is evaluated by Llama 3 guard model, which deems it safe or unsafe 🧠 If your query is safe, it is routed to the Researcher Agent ⚙️ The Researcher Agent expands the query into three sub-queries, with which to search the web 🌐 The web is searched for each of the sub-queries 📊 The retrieved information is evaluated for relevancy against your original query ✍️ The Researcher Agent produces an essay based on the information it gathered, paying attention to referencing its sources The agent itself is also built with easy-to-use and intuitive blocks: 🦙 LlamaIndex provides the agentic architecture and the integrations with the language models ⚡Groq makes Llama-4 available with its lightning-fast inference 🔎 Linkup allows the agent to deep-search the web and provides sourced answers 💪 FastAPI does the heavy loading with wrapping everything within an elegant API interface ⏱️ Redis is used for API rate limiting 🎨 Gradio creates a simple but powerful user interface Special mention also to Lovable, which helped me build the first draft of the landing page for LlamaResearcher!💖 If you're curious and you want to try LlamaResearcher, you can - completely for free and without subscription - for 30 days from now ➡️ https://llamaresearcher.com And if you're like me, and you like getting your hands in code and build stuff on your own machine, I have good news: this is all open-source, fully reproducible locally and Docker-ready🐋 Just go to the GitHub repo: https://github.com/AstraBert/llama-4-researcher and don't forget to star it, if you find it useful!⭐ As always, have fun and feel free to leave your feedback✨

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Finding a job that matches with our resume shouldn't be difficult, especially now that we have AI... And still, we're drowning in unclear announcements, jobs whose skill requirements might not really fit us, and tons of material😵‍💫
That's why I decided to build 𝐑𝐞𝐬𝐮𝐦𝐞 𝐌𝐚𝐭𝐜𝐡𝐞𝐫 (https://github.com/AstraBert/resume-matcher), a fully open-source application that scans your resume and searches the web for jobs that match with it!🎉
The workflow is very simple:
🦙 A LlamaExtract agent parses the resume and extracts valuable data that represent your profile
🗄️The structured data are passed on to a Job Matching Agent (built with LlamaIndex😉) that uses them to build a web search query based on your resume
🌐 The web search is handled by Linkup, which finds the top matches and returns them to the Agent
🔎 The agent evaluates the match between your profile and the jobs, and then returns a final answer to you

So, are you ready to find a job suitable for you?💼 You can spin up the application completely locally and with Docker, starting from the GitHub repo ➡️ https://github.com/AstraBert/resume-matcher
Feel free to leave your feedback and let me know in the comments if you want an online version of Resume Matcher as well!✨

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