1. Problem Statement
India has over 1,000+ higher education institutions, each following different processes for internships and campus placements. The current ecosystem is highly fragmented, with communication spread across emails, WhatsApp groups, spreadsheets, ERP systems, and physical approvals. Students often miss opportunities because they are unaware of openings or struggle to identify jobs matching their skills. Faculty mentors manually verify eligibility and approve applications, resulting in delays. Placement cells spend significant effort managing company onboarding, student records, and recruitment drives, while employers receive hundreds of applications without an efficient mechanism to identify suitable candidates. These disconnected workflows create inefficiencies across every stakeholder involved in campus recruitment. The absence of a centralized, intelligent platform leads to poor visibility of internship opportunities, manual verification and approval processes, low-quality employer-student matching, delayed communication, lack of analytics for placement cells, and poor student experience during placements. SAKSHAM was built to solve these challenges by creating a unified AI-powered placement ecosystem connecting Students, Faculty Mentors, Placement Cells, and Employers.
2. Goals & Objectives
- 1Centralize and digitize the complete internship and placement lifecycle on a single unified platform.
- 2Reduce manual administrative workload and paper-based signature delays across institutions.
- 3Improve the quality of employer-student matching using intelligent candidate recommendation algorithms.
- 4Standardize internship management workflows and increase successful internship conversions.
- 5Provide actionable analytics dashboards for placement cells to monitor institutional performance.
3. Target Users
Students
Looking for internships and placement opportunities, tracking application stages, scheduling interviews, and building profiles.
Faculty Mentors
Responsible for reviewing student eligibility, approving requests, tracking progress, and reducing manual paperwork.
Placement Cell
Institution administrators managing company approvals, monitoring drives, inspecting analytics, and managing relationships.
Employers
Companies posting opportunities, screening candidates, scheduling interviews, tracking pipelines, and issuing certificates.
4. User Pain Points
Students Frictions
- •Opportunities scattered across multiple platforms with manual resume submissions.
- •No visibility into application status or interview scheduling updates.
- •Repeated profile creation and CV submissions for different companies.
Faculty Frictions
- •Manual approvals and large volumes of applications to review under short timelines.
- •Lack of centralized student records and difficulty tracking mentee placement progress.
Placement Cell Frictions
- •Managing company drives manually through complex spreadsheets and folders.
- •High administrative workload and difficult cross-role coordination without dashboard analytics.
Employers Frictions
- •High screening fatigue from receiving large volumes of irrelevant candidate applications.
- •Time-consuming candidate screening and manual interview scheduling loops.
5. User Stories
As a Student:"I want to create a verified digital profile and upload my resume once..."
So that:I don't have to repeatedly enter application details and can apply with a single click.
As a Student:"I want to receive AI-recommended internships based on my skills and track my application states..."
So that:I can discover relevant opportunities quickly and monitor my hiring progress.
As a Faculty Mentor:"I want to review pending student applications and provide remarks..."
So that:I can approve eligible candidates efficiently and guide students.
As a Placement Officer:"I want to approve employer registrations and monitor placement dashboards..."
So that:I can oversee institutional performance and protect students from unverified employers.
As a Employer:"I want to receive AI candidate recommendations and auto-schedule interviews on Google Calendar & Meet..."
So that:I can save time screening applicants and avoid back-and-forth scheduling.
6. Feature Prioritization
| Feature | Reach (users/qtr) | Impact (0.25–3) | Confidence (%) | Effort (weeks) | RICE Score |
|---|---|---|---|---|---|
| Role-Based Authentication & Profiles | 2,000 | 3 | 95% | 4w | 1425 |
| Google Calendar & Meet Scheduler Integration | 1,200 | 2 | 85% | 5w | 408 |
| AI-Powered Hybrid Recommendation Engine | 1,800 | 3 | 75% | 10w | 405 |
| Automated Multi-Stage NOC Approval Pipeline | 1,500 | 2 | 90% | 8w | 338 |
| Analytics & Placement Stats Dashboard | 200 | 2 | 80% | 6w | 53 |
7. Success Metrics
Average Turnaround Time (TAT) from Application to Interview
Tracks the end-to-end efficiency of the recruitment funnel, including institutional approvals, matching, and final scheduling.
- •Application-to-interview and interview-to-offer conversion rates
- •Average NOC approval turnaround time (Goal: cut from 12 days to <48 hours)
- •Placement and internship conversion rates across graduating batches
8. Conclusion
SAKSHAM re-imagines campus recruitment by uniting students, faculty, placement cells, and employers on a single intelligent platform. By integrating vector-similarity matching, automated NOC pipelines, dynamic calendars, and dashboard analytics, it eliminates administrative overhead and matches candidates with recruiters at scale.