project cantered on the meticulous refinement of the Flan-T5 Base model to excel in the art of bullet point summarization for extensive earnings call transcripts. Leveraging advanced techniques, we fine-tuned the model to autonomously generate concise and informative bullet point summaries.

Enhancing Instagram Captions with Visual AI-Powered GPT-3. Unleash the potential of GPT-3, the language virtuoso, by marrying it with cutting-edge visual AI.

The aim of this project is to use Natural Language Processing and Machine learning to detect Fake news based on the text content of the Article. And after building the suitable Machine learning model to detect the fake/true news then deploy it into a web interface using python_Flask.

Coronavirus has now become the talk of the town, most people in the world right now are suffering badly and every day thousands of people are dying because of COVID-19. As per WHO, face masks combined with other preventive measures such as frequent hand-washing and social distancing help slow down the spread of the coronavirus. In this project, we will build a real-time system to detect whether the person is on the webcam wearing a mask or not.

Use of Data mining techniques to Predict crop production and at the same time give the complete analysis of past productions.

The Agri Help Chat Bot is an intelligent conversational agent designed to provide comprehensive assistance and support to farmers and individuals involved in agriculture. The chat bot offers a seamless user experience by allowing both text-based and voice-based interactions. By harnessing the power of LLM Model, the Agri Help Chat Bot provides an intuitive and user-friendly interface.

• Interactive Chat Interface: The Agri Help Chat Bot greets users with a friendly message and presents a chat window where users can type or speak about their queries and concerns related to agriculture.
• Multi-modal Communication: Users can choose to communicate with the chat bot via text input or voice input, allowing for flexibility and convenience based on their preferences or accessibility needs.
• Responsive Design: The user interface of the chat bot is designed using Flask and Bootstrap frameworks, ensuring a responsive and adaptive layout that works seamlessly across different devices, such as desktops, tablets, and mobile phones.

LexiAnalyzer

Lexicon-based Sentiment Analysis Made Easy LexiAnalyzer API offers a seamless way to integrate lexicon-based sentiment analysis into your applications.

Enhancing Instagram Captions with Visual AI-Powered GPT-3. Unleash the potential of GPT-3, the language virtuoso, by marrying it with cutting-edge visual AI. The goal? Crafting Instagram captions that dont just narrate but captivate. Imagine captions that read your images, understand their essence, and weave poetic, witty, or thought-provoking stories that enhance every post. Visual-Linguistic Fusion: Seamlessly fuse image understanding with textual fluency, producing Instagram captions that harmonize with the visuals they accompany. Emotionally Resonant: Train the AI to discern and reflect the emotions conveyed by images, generating captions that strike a chord with viewers. Creativity Amplification: Empower the AI to think creatively, generating captions that sparkle with originality and flair. User Personalization: Provide users the ability to tailor the AIs output to match their unique style, making the captions feel authentic and personalized.

Gone are the days of one-size-fits-all chatbots that lack personalization and fail to engage users effectively. Today, we have the opportunity to create chatbots that truly understand and connect with their audience. With OpenAI API, we can tap into the state-of-the-art language model, allowing our chatbot to comprehend natural language inputs, provide accurate responses, and even hold dynamic conversations with users.

Harnessing the Power of Machine Learning in Agriculture.