MetaTaaraka™ AI ProjectX Mentorship & Industry Exposure Program

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About Training

MetaTaaraka™ AI ProjectX Mentorship & Industry Exposure Program.

Build Real-World AI Projects for Academic Excellence & Industry Exposure

Mini & Main Projects | Earned Certification | Mentor-Guided Execution

Offered by: MetaTaaraka™ AI Innovations Pvt. Ltd.
Delivered via: MetaTaaraka™ AI TrainX Platform
Duration: 8–12 Weeks
Mode: 100% Online

Program Overview

The MetaTaaraka™ AI ProjectX Program is a structured, mentor-driven academic project solution designed to help students select, build, execute, present, and defend real-world AI-based industry projects.

This program supports Mini Projects and Main / Final Year Projects as part of academic requirements, while also providing real industry exposure through practical, hands-on execution.

This is not a shortcut program.
It is built for sincere and committed students who want:

  • Real learning

  • Strong conceptual clarity

  • Confident project presentation

  • Valid academic & industry recognition

Recommended for:

  • BE / BTech (All branches requiring IT / IT-related projects)

  • MCA / BCA / ME / MTech

  • Diploma (CSE / IT / AI / Data-related streams)

  • Final Year & Pre-Final Year Students

  • Students from India & Worldwide

Project Domains We Support

Students can choose domain-based projects aligned with current industry demand:

Artificial Intelligence (AI)

  • Intelligent systems

  • AI-powered automation

  • Recommendation & decision systems

Machine Learning & Deep Learning

  • Predictive models

  • Classification & regression systems

  • CNN, RNN & Transformer-based models

Data Science & Analytics

  • Data processing & visualization

  • Business & real-world insights

  • Statistical & ML-driven analysis

Natural Language Processing (NLP)

  • Chatbots & virtual assistants

  • Text classification & sentiment analysis

  • Language understanding systems

Computer Vision

  • Image & video analysis

  • Face & object detection

  • Medical & industrial vision systems

Full Stack + AI Integration

  • Web applications with AI features

  • API-based AI solutions

  • End-to-end project deployment

(Domain availability may vary per batch)

Program Structure (Phase-wise)

Phase 1: Enrollment & Project Shortlisting

  • Students subscribe with a Student Leader name

  • Program fee payment confirmation

  • Access to personal student dashboard

  • View a detailed list of industry-oriented project titles

  • Select any 5 project titles

  • Share selected titles via:

Phase 1.1: College Approval Support

  • MetaTaaraka™ team shares project abstracts

  • Students submit abstracts to their college

  • Project execution starts only after approval.

Phase 2: Mentor-Guided Project Execution

Once approved, students get full access to the end-to-end project track:

Weekly Mentor Sessions

  • Concept explanations

  • Architecture & workflow discussions

  • Implementation strategies

Complete Project Development Support

  • Step-by-step guidance (start → finish)

  • AI model building & execution

  • Debugging & performance improvement suggestions

Presentation & Documentation Guidance

  • PPT structure & review

  • Project report / thesis preparation

  • Abstract, methodology, results & conclusion support

Evaluation Readiness

  • Model viva sessions

  • Expected questions & answering techniques

  • Improvement & optimization ideas.

Parallel Opportunity: AICTE-Approved Internship Program

During Phase 2, eligible and sincere students may enroll in an:

AICTE-Approved, Industry-Oriented Internship Program

Internship certification is NOT automatic

Students must:

  • Actively work on real-world AI project execution

  • Follow mentor guidance

  • Complete assigned milestones successfully.

Certification & Student Dashboard

Each student receives a dedicated dashboard on the MetaTaaraka™ AI TrainX Platform.

Certificates are issued ONLY after successful completion:

  • Project Completion Certificate (After successful completion of Project tasks)

  • Internship Completion Certificate (After successful completion of internship)

Certificates issued by:
MetaTaaraka™ AI Innovations Pvt. Ltd.

Program Duration

8 to 12 Weeks, depending on:

  • Project complexity

  • Student participation

  • Internship engagement

Program Fee (Batch-Based | Max 4 Students)

Mini Project Only  : ₹9,999 per batch

Major / Main / Final Year Project Only : ₹14,999 per batch

Mini + Major Project (Recommended) :₹19,999 per batch

Maximum 4 students per batch
Fee can be shared equally among batch members

Fee Includes:

  • Domain-based project mentorship

  • Weekly mentor sessions

  • Documentation & viva guidance

  • Student dashboard & certification access

  • Internship opportunity (performance-based)

Important Note

  • This program is NOT suitable for last-minute submissions

  • Active participation is mandatory

  • Only committed learners should enroll

  • Best-performing students will be considered for part-time / full-time roles at MetaTaaraka™ (Based on vacancies)

Enroll in

MetaTaaraka™ AI ProjectX Mentorship & Industry Exposure Program

Turn your academic project into real industry experience.

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Training Content

Mini/Major Projects List

  • project lists
  • MiniAI001: Rule-Based AI System for Student Performance Evaluation
  • MiniAI002: AI-Powered Smart Attendance Monitoring System
  • MiniAI003: AI-Based Career Guidance Recommendation System
  • MiniAI004: Intelligent Chatbot for College Information Support
  • MiniAI005: AI-Based Smart Traffic Signal Simulation
  • MiniAI006: AI System for Automated Resume Screening
  • MiniAI007: Intelligent Virtual Assistant for Academic Queries
  • MiniAI008: AI-Based Product Recommendation Engine
  • MiniAI009: AI-Powered Fake News Detection System 
  • MiniAI010: Expert System for Medical Symptom Analysis
  • MiniML001: Student Result Prediction Using Machine Learning
  • MiniML002: Email Spam Detection Using ML Algorithms
  • MiniML003: House Price Prediction Using Regression Models
  • MiniML004: Credit Risk Analysis Using Machine Learning
  • MiniML005: Handwritten Digit Recognition Using Neural Networks
  • MiniML006: Customer Churn Prediction System
  • MiniML007: Disease Prediction Using Supervised Learning
  • MiniML008: Sales Forecasting Using Machine Learning
  • MiniML009: Sentiment Analysis Using Machine Learning Models
  • MiniML010: Image Classification Using CNN

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