The internship credit
you can defend.

IntelleSkill delivers the internship credit AICTE already requires you to award, through projects built from today's job requirements, with per-student, human-reviewed, verifiable evidence for your accreditation file.

No employer tie-up and no student travel.

IntelleSkill learning network connecting University to Industry through skills, projects, AI learning, virtual labs, assessments and certifications
The Obligation

You already have to award
these credits.

This applies to every AICTE-approved institution, whether or not industry cooperates.

Source: AICTE Internship Policy

The Evidence Problem

Certificates assert.
Accreditation asks for evidence.

How the credit is usually evidenced today

  • A certificate on a letterhead
  • No record of what was built
  • No assessment
  • No per-student evidence

What the NBA manual allocates marks to

  • 15marks · Industry Internship and Summer Training (2.2.5)
  • 15marks · Industry Interaction (2.2.4)
  • 120marks · Attainment of Course and Programme Outcomes (Criterion 3)

A bundle of certificates answers none of it.

Source: NBA Undergraduate Engineering Tier-II Manual

WHAT EACH STUDENT PRODUCES

Evidence, produced as a by-product of delivery.

Projects aren't invented at random. Each one is generated from what the job market is asking for in that role today, and from the kinds of requirements Intellesphere's own clients bring us.

01

Project Brief

A project brief generated from current job requirements, for that student's role and industry domain.

A different project for every student.

02

Reviewed Documentation

Planning documentation, approved by a named reviewer before coding opens.

Human gate one.

03

Observed Code

Code written and run inside the platform, with no local installation.

What the platform saw, not what was claimed.

04

Concept Checks

Concept-check results for every task, recorded before the task counts.

Pasted work does not get through.

05

Sprint Approvals

Sprint approvals from a reviewer, each one required before the next sprint opens.

Human gate two.

06

Scored Certificate

A final score and a certificate with a public verification link.

A number, a reviewer and a link.

Exportable per student, for your accreditation file.

HOW WE KNOW THE STUDENT DID THE WORK

AI generates the problem.
A person signs the outcome.

AI generates each project and assists the evaluation. A Senior Developer or Product Owner from IntelleSkill then reviews the work and approves it before the student can move forward.

Observed execution. Code is written and run inside the platform, so there is no gap between what a student claims and what the platform saw.
Concept check. A check must be passed before any task counts as complete, so pasted work does not get through.
Two human gates. A reviewer approves the planning documents before coding opens, and approves each sprint before the next one opens.

Senior Developer

Product Owner

Who reviews.

We don't publish names; your faculty can sit in on a live review session.

Sprint reviewer · Backend

Backend Developer

Senior full-stack technical lead building enterprise web applications on .NET, SQL Server and Angular, deployed on Azure with CI/CD pipelines. Has led development teams, run code reviews and led user acceptance testing across energy, retail, oil and gas, and consumer goods.

12+ years · M.Tech, Software Engineering

Sprint reviewer · Generative AI and NLP

AI/ML EngineerGenAI DeveloperData Scientist

Lead data scientist working in generative AI, NLP and large language models, deep learning and computer vision. M.Tech in AI and Machine Learning from an IIT. Applied work in semiconductors and banking analytics.

5+ years

Documentation reviewer · Architecture and delivery

Enterprise platform architect and transformation leader: AI-native platform design, event-driven and cloud-native architecture, and delivery governance across defence, healthcare, manufacturing and enterprise services. Has trained and mentored trainee developers.

20+ years

WHERE AI ASSISTS

AI assists. People decide.

AI generates each project, checks code as it is written and builds the concept checks. It does not approve a student's work. A reviewer does.

Every AI evaluation sits behind the two human review gates.

Project Generation

Generates each project from current job requirements for the student's role, in sectors like Banking, Telecom, Healthcare, Retail and E-Commerce

Code Evaluation

Analyzes correctness, quality, and best practices instantly

Concept Checkpoints

Generates assessments to validate real understanding

AI Mentor Chat

Context-aware assistant that understands code and tasks

Repo Health Analysis

Evaluates GitHub structure, commits, and documentation quality

Five roles, built from what each is being hired for now.

Each student picks one role and an industry domain. Their projects are generated from today's job requirements for that role.

Currently for CSE, IT, AI&ML and Data Science departments.

For your role

One programme, and a different reason to care depending on where you sit.

Training & Placement Officer

Internship coverage for a full batch without sourcing a single company, and a link to show a recruiter what the student did.

Request a campus demo

Head of Department

Per-student evidence of outcome attainment, on projects that follow the current market without rewriting your syllabus.

Run a pilot with one section

Principal and management

Every student completes a reviewed, scored project with a verifiable public record. No employer dependency, no infrastructure.

Start a partnership conversation

IQAC coordinator

Per-student records generated as a by-product, so nobody collects them by hand.

Ask what the evidence pack contains

Faculty

Your students do the work and our reviewers review it. You get a dashboard and no correction pile.

Sit in on a review session
The Department Evidence Pilot

Start with one section, for one semester.

One section of one department, typically 40 to 60 students, capped at a number our reviewers can carry.

Step 1

Scope Agreed in Writing

Cohort size, success criteria and the evidence deliverable, before anything starts.

Step 2

Orientation and Roster

We run a one-hour session, and your faculty coordinator gets a walkthrough of the dashboard and reporting.

Step 3

Cohort Runs

Projects, review gates and concept checks, with progress visible to the TPO and coordinator.

Step 4

Evidence Pack and Review

Per-student records delivered, then a review meeting with the Principal.

What your college commits to

  • Announce the programme on your own channels
  • Name a faculty coordinator
  • Give a one-hour orientation slot
  • Provide reliable connectivity
  • Hold the end-of-pilot review

Priced per student, per semester. The figure comes with the written pilot proposal.

No servers required
Works on any browser
Full support included
Data stays secure

Keep the free platforms you already use.

They teach. We supervise and evidence.

Use them for content, and use IntelleSkill for the credit you have to defend.

What we will not promise.

Your institution is never exposed by a claim we made on your behalf.

No placement guarantee, and nothing that implies one

No company names or hiring partners

No claim of recognition by AICTE, NBA, NAAC or any other body

No cohort larger than our reviewers can review well

Industry-Verifiable Certificates

Sample IntelleSkill scored certificate with public verification URL

Unique Verification URL

Each certificate links to a verifiable public page

Publicly Verifiable Record

Anyone with the link can check the certificate and its score

Score-Based Evaluation

Reflects real performance across all sprints

LinkedIn Ready

You can showcase directly on LinkedIn profiles

NEXT SEMESTER

Plan a pilot for
your next semester.

We will walk you through the platform, the pilot scope and the evidence each student produces. Twenty minutes, on your campus or online.

www.intelle-sphere.com
upskill@intelle-sphere.com
+91 8374503904+91 7893307400
Request a campus demo