Project Title

AutoApply: Your Personalized Job-Finding Agent.

Overview of the Idea

AutoApply automates the daily grind of job hunting. Instead of manually searching and applying to jobs on LinkedIn or company websites, the agent does it for you — including resume customization and even reaching out for referrals.

Project Goal

To demonstrate how agentic workflows can automate complex, high-effort user tasks like job applications, saving users time and increasing application relevance through dynamic resume adaptation.

How It Works

Provide a step-by-step explanation or high-level breakdown of your Agentic System and how users will interact with it:

• User Flow:
  --User uploads an Excel file with target companies and roles.
  --Agent reads the Excel, searches LinkedIn for relevant job posts.
  --If “Easy Apply” is available, it applies directly.
  --If not, it scrapes the JD, creates a customized resume using user-provided background.
  --Applies via company website using Browseruse.
  --Optionally requests referrals by finding relevant people at the company on LinkedIn using the LinkedIn API.

• Core Functionality:
  --Excel-based job targeting
  --LinkedIn job search automation
  --Resume customization based on JD
  --Job application via LinkedIn/Browseruse
  --Referral request automation
  --Memory of past applications to avoid duplicates

• Multimodal Elements (if applicable):
  --Text: Resumes, JDs, referral messages
  --Spreadsheet Input: Excel file for job targets
  --Browser Interaction: Multimodal browseruse Automation

Tools Used

1. Agno - Orchestrate the job-finding agent, manage memory + tools, UI for chat
2. Mem0 - Store past applications, personalize resumes over time
3. Firecrawl - Scrape job descriptions from external websites for resume customization
4. Browseruse - Apply to jobs and fill out forms on company websites
5. Linkedin API - For referral automation based on job/company

UI Approach

Describe the user interface for your project.

Visuals

• Minimal dashboard to upload Excel
• Option to input personal profile/resume seed info
• Toggle for enabling referral automation

Agent chat interface (Agno-powered) to show status updates and confirmations

Team Information

• Team Lead: Rishi-Raj-Kalita
• Background/Experience: Data/AI consultant at AWS

Prize Category (leave blank, to be assigned by judges)

• Best use of Agno
• Best use of Firecrawl
• Best use of Mem0
• Best use of Graphlit
• Best use of Browser Use
• Best Overall Project

Demo Video Link

To be added.

Additional Notes

Any other information you'd like to share about your project.