Dalvik Apps is dedicated to providing advanced lab setups that differentiate from traditional setups by incorporating modern, industry-relevant technologies. Our labs are designed to help institutions bridge the gap between theoretical learning and practical application, giving students hands-on experience that will set them apart in the job market.
Our lab setups offer the following advantages:
Our labs are a gateway to modern education, ensuring that students leave your institution ready for real-world challenges and opportunities.
Our Drone Lab equips students with the tools and skills to design, build, and operate unmanned aerial vehicles. This lab includes drone kits, flight simulators, and sensors to give students comprehensive experience in drone technology.
Includes: Drone kits, flight control software, simulation tools, and real-time navigation systems.
Practical Examples:Autonomous drone flips using sensor integration, Obstacle avoidance using range-finding sensors, Real-time drone stabilization via gyroscopes and accelerometers
Training:Drone Assembly and Design, Programming Drones, Autonomous Flight and Control
The IoT Lab provides students with hands-on experience in connecting and managing smart devices. The lab includes IoT kits, sensors, cloud connectivity tools, and microcontroller boards to enable students to build real-world IoT applications.
Includes: LoRa-E5 Development Kit, Explore-RPI-V1.2 (Raspberry Pi IoT Development Board), STM32F4 Development Board, ESP32 Based IoT Development Board.
Practical Examples: Sensor integration, data transmission via LoRa, cloud connectivity, smart home automation.
Training: 5-day training on IoT concepts and hands-on projects.
Our AI/ML Lab offers a comprehensive environment for students to develop machine learning models, perform data analysis, and explore artificial intelligence tools. This lab is equipped with powerful computing resources and software platforms like TensorFlow and PyTorch.
Includes: High-performance workstations or NVIDIA Jetson kits for edge AI, Software tools: TensorFlow, Keras, PyTorch, Datasets and resources for training AI models.
Practical Examples:mage recognition, natural language processing, autonomous systems.
Training:AI/ML fundamentals, Python programming for AI, data analysis.
This lab focuses on microcontroller-based systems used in various electronics. It allows students to build projects on platforms like Arduino, Raspberry Pi, and ARM Cortex processors, helping them understand how to design and integrate embedded systems.
Includes: Arduino Kits, STM32F4 Discovery Kits, PIC microcontroller boards, Debuggers, sensors, and actuators
Practical Examples:Real-time operating systems (RTOS), peripheral interfacing, motor control, and sensor integration.
Training:Embedded C programming, real-time applications.
In this lab, students learn how to design, build, and program robots. The lab includes tools for mechanical assembly, sensors, actuators, and microcontroller integration, preparing students for careers in automation and robotics engineering.
Includes: Robotic arms for assembly automation, Arduino and Raspberry Pi kits for building robots, Sensors for proximity, temperature, and obstacle detection, Motor drivers and actuators.
Practical Examples:Line-following robots, pick-and-place robots, robotic arm control.
Training:Robot programming, sensor integration, control systems.
Students explore the world of 3D printing, learning how to design and produce prototypes using state-of-the-art additive manufacturing technology. This lab fosters innovation in design and engineering, making students proficient in cutting-edge production methods.
Includes: 3D Printers (FDM, SLA), Design software (AutoCAD, Fusion 360), Printing materials (PLA, ABS, resins).
Practical Examples:Prototype development, small-scale manufacturing, CAD model to print workflow.
Training:3D modeling, slicing, and printing techniques.
The VLSI and FPGA Lab offers students insights into digital design and hardware implementation. The lab includes FPGA boards, simulation tools, and VLSI design software, equipping students with skills to design and test digital circuits.
Includes: FPGA Development Boards (Xilinx, Altera), VHDL/Verilog simulation tools, Logic analyzers and digital oscilloscopes.
Practical Examples:FPGA programming, digital circuit design, hardware description language coding
Training:FPGA design flow, digital systems.
Specializes in wireless communication technologies such as Bluetooth, Wi-Fi, and ZigBee.
Includes: Wi-Fi and ZigBee development kits, Software-defined radio (SDR) kits, Antennas and signal analyzers.
Practical Examples:Wireless sensor networks, communication protocol implementation, data transmission.
Training:Wireless communication standards, protocols, and hardware interfacing.
Prepare students for careers in cloud computing and data analytics with this lab. Equipped with tools like AWS, Google Cloud, and Hadoop, students learn how to manage and analyze large datasets, deploy cloud infrastructure, and work with cloud-native applications.
Includes: Virtual cloud labs (AWS, Azure, GCP), Hadoop and Spark clusters, Data storage solutions (HDFS, NoSQL).
Practical Examples:Big data processing, cloud architecture design, data mining.
Training:Cloud deployment, big data analytics, cloud services.
The Cybersecurity Lab provides students with the skills to secure digital systems and networks. The lab includes network simulation tools, ethical hacking platforms, and real-world scenarios for students to practice security analysis and threat mitigation.
Includes: Kali Linux workstations, Firewalls, intrusion detection systems (IDS), Penetration testing tools (Metasploit, Wireshark)
Practical Examples:Vulnerability assessments, network security configurations, ethical hacking.
Training:Cybersecurity fundamentals, network security practices.
Focuses on developing skills in data analysis, machine learning, and data visualization.
Includes: Workstations with Jupyter Notebook and RStudio, Tools: Python, R, SQL, Tableau, Datasets for analysis and practical work.
Practical Examples:Data analysis, machine learning model development, data visualization.
Training:Data handling, statistical analysis, machine learning.
The EV Lab is designed to provide students with hands-on experience in electric vehicle technologies, including EV drive systems, battery management, motor control, and renewable energy integration. This lab enables the study of key components used in electric vehicles and allows students to work on EV system design, control strategies, and testing.
Includes:Electrical Vehicle Training System,Brushless DC (BLDC) Motor Training System,Experimental Kits for Power Electronics,Battery Management System (BMS) Setup,Solar PV Training and Research System,Hydrogen Fuel Cell Setup,Impulse Generator.
Practical Examples:Motor control system design for EVs,Battery management and charging systems,Power electronics for EV drive systems (inverters, converters),Energy efficiency analysis using renewable sources for EVs,Testing the integration of hydrogen fuel cells and electric drives.
Training:Electric vehicle drive systems,Power electronics in EVs,Battery management and safety protocols,Renewable energy integration with EV charging stations,EV system simulation and testing.
Focused on providing hands-on experience in renewable energy systems and Heating, Ventilation, and Air Conditioning (HVAC) technologies, this lab emphasizes energy efficiency and sustainability.
Includes:Solar PV Training and Research System,Computerized Vapour Compression Refrigeration System,Computerized Air Conditioning Test Rig,Hydrogen Fuel Cell Setup,Cut section models of compressors, expansion valves, and other HVAC components.
Practical Examples: Solar energy generation, refrigeration system testing, air conditioning optimization, hydrogen fuel cell experiments.
Training:Renewable energy integration, HVAC system design and troubleshooting, clean energy technologies.
This lab is dedicated to analyzing mechanical and thermal properties of materials, critical for manufacturing, automotive, and aerospace industries.
Includes: Torsion Testing Machine, Brinell cum Rockwell Hardness Testing Machine, Impact Testing Machine,Muffle Furnace,COD Digester,Gas Emission Analyser and Smoke Meter for Diesel Engines
Practical Examples: Material strength testing, impact resistance analysis, emission testing, fuel analysis.
Training:Mechanical properties assessment, thermal system optimization, environmental and emission testing.
Designed to study electrical power systems, power electronics, and electrical drives, with a focus on modern power systems and renewable energy integration.
Includes:Experimental Kits for DIAC, SCR, TRIAC Characteristics,Brushless DC (BLDC) Motor Training System,Electrical Vehicle Training System,Smart Grid Training Kit, Three-phase Voltage Source Inverter
Practical Examples:Power converter design, motor control systems, electric vehicle simulations, smart grid energy distribution.
Training:Power electronics circuit design, electric vehicle drive systems, smart grid integration, renewable energy solutions.
Aimed at providing expertise in embedded systems and IoT technologies, this lab enables students to design and test real-world IoT applications in agriculture, manufacturing, and smart cities.
Includes:Jetson Xavier, Jetson TX2, Jetson Nano Edge Devices, Raspberry Pi 4B,Thermal Camera, IP Camera, Night Vision Camera,Agri Embedded Sensor Kit, Fire System Embedded Kit,IoT Development Kits (AZ3166, Simatic IoT 2000)
Practical Examples:Edge computing, AI-based image processing, agricultural automation, fire safety systems.
Training:IoT deployment, embedded system design, smart city applications, AI-driven IoT systems.
If you would like to learn more or get a quote for our lab setups, please fill out the form below or contact us directly.
