You will get AI-Powered Code Vulnerability Scanner with LLM Integration


Project details
Unlock the power of AI to secure your code with an advanced vulnerability scanner integrated with cutting-edge Large Language Models (LLMs). As an experienced AI developer with a proven track record in building secure and efficient solutions, I offer a tailored tool that not only detects code vulnerabilities but also provides insightful explanations and actionable fixes.
What sets this project apart is the integration of LLMs, enabling the scanner to analyze code contextually, identify subtle issues often missed by traditional tools, and suggest best-practice solutions. My expertise ensures a seamless experience, delivering a lightweight, high-performance tool adaptable to your specific needs.
What sets this project apart is the integration of LLMs, enabling the scanner to analyze code contextually, identify subtle issues often missed by traditional tools, and suggest best-practice solutions. My expertise ensures a seamless experience, delivering a lightweight, high-performance tool adaptable to your specific needs.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced ClassificationAI Development Language
PythonAI Tools
Azure OpenAI, PyTorch, TensorFlowAI Models
GPT-4What's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | - | - |
Source Code |
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AS
Agile S.
Dec 2, 2024
Computer Science Proofreading and Content Writing Using LaTeX
Misganu consistently delivered high-quality work on our project. His keen eye for detail and ability to understand our specific needs were impressive. His professionalism and timely communication made the collaboration seamless. I would gladly work with him again.
fa
fahed a.
Oct 17, 2024
paper AI in healthcare
he very professional and good communicate , i recommended him.
About Misganu
Machine Learning Engineer | LLM Integration specialist | Writer
100%
Job Success
Addis Ababa, Ethiopia - 2:22 am local time
Machine Learning Services:
✅ Model development using Python frameworks like TensorFlow, PyTorch, and Scikit-learn
✅ Data preprocessing, feature engineering, and model optimization
✅ End-to-end pipeline implementation and deployment
Technical Writing & Proofreading:
✅ User manuals, technical reports, and API documentation
✅ Editing research papers, white papers, and grant proposals
✅ Proofreading for grammar, structure, and clarity
Why Choose Me?
✔Dual Expertise: I bridge the gap between technical execution and effective communication.
✔Proven Experience: Successfully delivered machine learning models and technical
✔documentation for various industries, including healthcare and IT.
✔Attention to Detail: Meticulous in both coding and editing, ensuring quality.
✔Strong Collaboration: I work closely with clients to align solutions and content with their goals.
Notable Projects & Accomplishments:
✅ Developed a Memo Tracking System for IPDC using Django and PostgreSQL.
✅ Engineered a kidney disease detection and classification model.
✅ Created a wheat disease detection and classification model.
✅ Designed and implemented dynamic web solutions, including a responsive website for Wollega University’s Engineering and Technology College.
Steps for completing your project
After purchasing the project, send requirements so Misganu can start the project.
Delivery time starts when Misganu receives requirements from you.
Misganu works on your project following the steps below.
Revisions may occur after the delivery date.
Planning and Design:
Create a detailed plan outlining the scanner's architecture, AI capabilities, and integration with LLMs. Share the plan with the client for approval before development begins.
Development and Integration
Develop the core vulnerability scanning engine. Integrate the LLM to enhance contextual analysis and reporting. Perform initial testing to ensure functionality.