AI Internship Matching
SessionSync maps students to MSMEs, startups, NGOs, and internal college projects based on skills, psychometrics, performance, and academic stream.
How Matching Works
Student Profile
Skills, interests, academics
Skill Scoring
AI-driven performance analysis
Industry Needs
Project requirements & skills
AI Matching
Engine finds best-fit roles
Internship Allotment
Student receives offer
Inputs from Student
| Field | Description |
|---|---|
| Course/Stream | BA, B.Com, BBA, BCA, B.Sc |
| Interests | Collected during AI profiling |
| Skill Performance | Past internship/quiz scores |
| Personality Type | Communication, planning, leadership |
Inputs from Industry
| Requirement | Source |
|---|---|
| Project Type | MSME/startup |
| Skill Expectations | Provided in project brief |
| Duration | 60–120 hours |
| Tools | Canva, Excel, Social Media, etc. |
Outputs
| Result | Meaning |
|---|---|
| Match Score | 1–100 |
| Recommended Internship | Based on highest match |
| Gap Areas | Skills to improve |
| Learning Pathway | Micro-courses suggested |
Example Dashboard Preview
Your Perfect Internship Match:
Cyber Security — 87% Match
Aligns with: logical reasoning, attention to detail, digital habits
Skill Gap: Phishing detection knowledge
Suggested Pre-Learning: Cyber Hygiene Module + 30-min tutorial
Smart Features
Dynamic Matching
Adjusts as students improve skills and complete modules.
Batch-wise Allocation
Colleges can allocate 100+ students to different tracks at once.
Automated Reports
Shows match distribution & skill gaps per class/stream.
Smart Alerts
Notifies students if new internships open that match their profile.