SmartPlace: AI-Powered Placement Portal

Bridging the gap between talent and opportunity with AI-generated resumes and 95% match precision.

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Inspiration

Current placement systems rely on manual fragments—a chaotic mix of emails and Excel sheets that lead to data silos. With over 651 participants to manage, manual tracking results in zero transparency for students and low efficiency for placement cells, often leading to ATS rejections due to poor manual formatting. We were inspired to build a bridge between talent and opportunity using automation.

What it does

SmartPlace is an AI-powered placement portal that streamlines the end-to-end recruitment cycle. For Students: It offers an intuitive interface to input skills and CGPA, which an AI engine uses to generate ATS-friendly resumes and match them to jobs with a >70% fit score. For Placement Cells: It provides a "Command Center" dashboard to track student statuses (Interviewing, Placed) and global fit scores. The Engine: It uses TF-IDF Vectorization and Cosine Similarity to provide 95% matching precision between student profiles and job descriptions

How we built it

SmartPlace is an AI-powered placement portal that streamlines the end-to-end recruitment cycle. For Students: It offers an intuitive interface to input skills and CGPA, which an AI engine uses to generate ATS-friendly resumes and match them to jobs with a >70% fit score. For Placement Cells: It provides a "Command Center" dashboard to track student statuses (Interviewing, Placed) and global fit scores. The Engine: It uses TF-IDF Vectorization and Cosine Similarity to provide 95% matching precision between student profiles and job descriptions

Challenges we ran into

We utilized a modern, lightweight tech stack to ensure a fast, functional MVP: Frontend: Built with Streamlit for a responsive sidebar login and a Devpost-style card interface. Backend Logic: Developed using Pandas to manage the global state and mock a database environment via CSV. AI/ML Engine: Powered by Scikit-learn for match calculations and the Gemini/Sonnet API for automated resume generation.

Accomplishments that we're proud of

End-to-End Flow: We successfully implemented a proven flow from profile creation to job application in under 300ms. Automated Resume Gen: Creating a tool that takes raw user input and immediately produces a downloadable, ATS-friendly PDF. High-Fidelity UI: Delivering a clean, professional "SmartPlace" interface that feels like a production-ready tool

What we learned

Data-Driven Matching: We gained deep insights into how Cosine Similarity can replace manual screening to improve placement efficiency. MVP Strategy: We learned how to prioritize core features—like the Fit Engine and Resume Generator—to meet hackathon deadlines while maintaining business viabilit

What's next for SmartPlace: AI-Powered Placement Portal

Architecture Upgrade: Migrating the current CSV-based backend to PostgreSQL for production-level stability. Recruiter Features: Developing dedicated interview panels and recruiter-specific logins. Automated Certification: Scaling the system to provide automated completion certificates for all 651+ participants. Monetization: Implementing a "Revenue Ladder" including a freemium model for small colleges and corporate job posting fees.

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