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LIVE Projects in AI, Gen AI & Agentic AI for BTech/BSc/BCom

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Final Year LIVE Projects in AI, Gen AI & Agentic AI for BTech/BSc/BCom Students

Kalpra Academy offers Final Year LIVE Project opportunities for BTech, BSc, and BCom students in the rapidly growing fields of Artificial Intelligence, Generative AI, and Agentic AI. These projects are designed to provide students with hands-on industry exposure, real-time datasets, and expert mentoring. They serve as powerful additions to the students’ resumes, enhance their technical portfolios, and increase the likelihood of placement offers during campus drives.

Objectives

• Provide real-time, end-to-end project experience aligned with industry needs
• Enable students to apply academic knowledge to real-world business challenges
• Enhance coding, data handling, model building, and AI deployment skills
• Prepare students with portfolios and GitHub projects to showcase during placements

Sample LIVE Projects

  • Build an LLM-based chatbot using OpenAI or Claude APIs to answer FAQs for students.
  • Trained using RAG and integrated into WhatsApp or web chat interface.
  • Skills: Prompt Engineering, LangChain, API Integration, Semantic Search
  • Develop a GenAI tool that scans resumes and ranks candidates using NLP and GPT.
  • Train on anonymized sample data and implement using Streamlit or Flask.
  • Skills: OpenAI API, PDF OCR, LLM Scoring, HR Automation
  • Create a multi-agent AI system for scheduling, reminders, email drafts, and reporting.
  • Use frameworks like AutoGPT, BabyAGI or CrewAI with memory and tool calling.
  • Skills: Agent workflows, Function calling, Task orchestration, LangGraph
  • Predict monthly product sales using regression and time series forecasting models.
  • Include dashboards using Power BI or Tableau and GitHub code repository.
  • Skills: Python, Scikit-learn, Data Visualization, Model Deployment
  • Build a tool that extracts and summarizes data from invoices, statements, reports.
  • Integrate Tesseract OCR or Azure Vision with GPT for summarization.
  • Skills: OCR, Document Chunking, GPT Prompting, Streamlit UI
  • Understand core processes in procurement, inventory, sales, and order fulfillment.
  • Hands-on projects covering P2P and O2C cycles.
  • Best suited for supply chain and logistics professionals.
  • Focuses on real-time business analytics and reporting tools.
  • Train on data modeling, reporting dashboards, and integration with SAC.
  • Perfect for BI analysts and data consultants.
  • Learn the future of SAP extensibility and integration via SAP BTP.
  • Hands-on with SAP CAP, Fiori, OData, and API management.
  • Targeted at developers and cloud integration specialists.

Each student will be guided by industry mentors, provided with evaluation rubrics, and supported with deployment to GitHub portfolios or cloud platforms. Top-performing students may also be selected for internship or employment opportunities at Kalpra Tech or its partner companies.

These projects not only strengthen a student’s technical skillset but also demonstrate initiative and readiness to recruiters during campus placement drives.

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Frequently Asked Question

AI in data science automates complex tasks like pattern recognition and predictive modeling. Machine learning algorithms analyze vast datasets to uncover insights, make predictions, and optimize decision-making. AI enhances data processing efficiency, enables advanced analytics, and supports data-driven decision-making, revolutionizing the field of data science.

In general programming, we have the data and the logic by using these two we create the answers. But in machine learning, we have the data and the answers and we let the machine learn the logic from them so, that the same logic can be used to answer the questions which will be faced in the future. Also, there are times when writing logic in codes is not possible so, at those times machine learning becomes a saviour and learns the logic itself

"With our data science course, you'll master essential skills in Python, power BI and machine learning. Analyse data, create insightful visualizations, and apply statistical techniques. Gain hands-on experience with real-world projects, fostering critical problem-solving skills. Acquire the knowledge to excel in diverse data-driven roles and drive innovation in any industry.

Python is known for its simplicity, readability, and versatility. It supports object-oriented, imperative, and functional programming styles. Its extensive standard library facilitates diverse tasks. Dynamic typing and automatic memory management enhance development speed. Python is widely used for web development, data science, machine learning, and automation.

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