14% OFF
Smart UV-C Sterilization Cabinet using ESP32 with Safety Interlock & IoT Monitoring
IoT & Embedded SystemsESP32Embedded C / C++IoTUV-C Sensor+4
₹11,999₹13,9993.8
Codeself Infotech helps CSE students in Bangalore develop practical final year projects across Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, Full Stack Development, Data Science, Cybersecurity, Cloud Computing, IoT, and emerging software technologies.
Explore our best projects
Build intelligent applications using machine learning, deep learning, large language models, AI agents, recommendation systems, and generative AI.
Develop prediction, classification, forecasting, recommendation, anomaly detection, and other data-driven systems.
Create applications for object detection, image classification, facial recognition, OCR, visual inspection, and video analysis.
Build complete web platforms using modern frontend, backend, database, API, authentication, and deployment technologies.
Develop projects involving data collection, preprocessing, analytics, visualization, statistical analysis, and predictive modelling.
Create security-focused applications involving authentication, secure communication, vulnerability analysis, monitoring, and threat detection.
Develop cloud-connected applications with APIs, databases, storage, authentication, deployment pipelines, and scalable services.
Combine software development with connected devices, sensors, ESP32, Raspberry Pi, dashboards, APIs, and real-time monitoring.
Analyse resumes using natural language processing and rank candidates according to job-specific skills and requirements.
Create a document question-answering application that extracts information from uploaded documents and responds to user queries.
Use natural language processing and machine learning to classify news content and identify potentially misleading information.
Develop a web-based attendance system with automated records, dashboards, authentication, reports, and optional AI-based recognition.
Build a complete examination platform with question management, student authentication, timed tests, evaluation, and result analytics.
Develop personalized recommendations using user behaviour, item information, machine learning models, and ranking techniques.
Create a security monitoring application that collects activity data and presents suspicious events through an analytical dashboard.
Build a collaborative platform with authentication, real-time communication, shared data, notifications, and backend services.
Define the Problem
Identify the real-world problem, target users, expected outcome, and academic objectives of the CSE project.
Select the Technology Stack
Choose suitable programming languages, frameworks, databases, APIs, AI models, and cloud services for the proposed solution.
Design the Architecture
Plan the application modules, data flow, database structure, APIs, model pipeline, authentication, and overall system architecture.
Build the Application
Implement the frontend, backend, database, algorithms, AI components, integrations, and other required modules.
Evaluate the Results
Test the application and evaluate its functionality, model performance, response behaviour, security, and overall project objectives.
Prepare the Final Demo
Organize the working application, project explanation, documentation, presentation, results, and demonstration for the academic evaluation.
Organized source code covering the major modules and implementation components of the selected CSE project.
Architecture diagrams and explanations showing how the application's frontend, backend, database, APIs, and other components interact.
Required database structures, API integrations, authentication mechanisms, and backend components for the project.
Testing scenarios and project results demonstrating how the implemented system performs against its defined objectives.
Technical project documentation covering objectives, methodology, architecture, implementation, testing, and results.
Materials required to explain the project and demonstrate its major features during academic project reviews.
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